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Capabilities of AI Transformers

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Capabilities of AI Transformers

Capabilities of AI Transformers
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Background
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Whether GPT, ChatGPT, DALL-E, Whisper, Satablity AI or whatever significant you see in the AI worlds nowdays it is because of Transformer Architecture. Transformers are a type of neural network architecture that have several properties that make them effective for modeling data with long-range dependencies. They generally feature a combination of multi-headed attention mechanisms, residual connections, layer normalization, feedforward connections, and positional embeddings.

Precursors of Transformers were RNN, LSTM, and GRU architecture. Transformers are based on the 2017 research paper “Attention is All You Need”

Initially, Transformers were used for NLP-related tasks. Slowly researchers started exploring the power of the Transformer Architectures and as of 2023 these are used for hundreds of tasks in different AI domains of technologies like:

  • Text Models (NLP, NLU, NLG)
  • Vision Models (Computer Vision)
  • Audio Models (Audio Processing, Classification, Audio Generation)
  • Reinforcement (RL) Models
  • Time-series Models
  • Multimodal: OCR (extract information from scanned documents), video classification, visual QA, table data question answering
  • Graph Models

Starting the journey in 2017, as of now (2023) we have approx 200 Transformer based architectures proposed by various researchers for various purposes. Using these architecture and various benchmark datasets thousands of models have been created which give SOTA performance on various tasks. Based on your need you choose which architecture can help you meet your project objective. There are high chances you will get some pre-trained models which you can use without training (Zero-shot) or small finetuning (one-shot or few-shot) efforts. For that you need to explore Huggingface and PaperWithCode

This articles list all the major Transformer related researcher paper, their object, and capabilities.

Note : Name starting with * are not Transformers, most of them are pretransformer age architectures.

Capabilities of AI Transformers
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SnoTransformerObjectiveSummaryNLP TasksCV Tasks
1*AlexNetImage ClassificationA deep convolutional neural network architecture for image classification tasks.-Image Classification, Object Detection
2*VGG16Visual Geometry Group Network (16 layers)A deep CNN model with 16 convolutional layers developed by the Visual Geometry Group at Oxford University.-Image Classification, Object Detection
3*VGG19Visual Geometry Group Network (19 layers)A deep CNN model with 19 convolutional layers, an extended version of VGG16.-Image Classification, Object Detection
4*ResNetResidual NetworksA deep CNN architecture that introduces residual connections to alleviate the vanishing gradient problem.-Image Classification, Object Detection
5*InceptionResNetCombination of Inception and ResNetA hybrid CNN model that combines the strengths of the Inception and ResNet architectures.-Image Classification, Object Detection
6*ConvNeXtImproved Convolutional Neural NetworkA convolutional neural network architecture that aims to capture richer spatial relationships in images.-Image Classification, Object Detection
7*DenseNetDense Connections in Convolutional NetworksA densely connected convolutional neural network architecture that encourages feature reuse and reduces the number of parameters.-Image Classification, Object Detection
8*MobileNetV1Mobile-oriented CNN ArchitectureA lightweight convolutional neural network architecture designed for mobile and embedded devices.-Image Classification, Object Detection
9*XceptionExtreme InceptionA deep CNN architecture that replaces the standard Inception modules with depthwise separable convolutions.-Image Classification, Object Detection
10EncoderDecoderSequence-to-sequence modelingA transformer-based model architecture that combines encoder and decoder for sequence-to-sequence tasks such as machine translation.Machine Translation, Text Summarization-
11*MobileNetV2Improved MobileNet ArchitectureAn enhanced version of MobileNet with improved performance and efficiency.-Image Classification, Object Detection
12Data2VecEmbedding data tablesA transformer-based model for embedding and encoding structured data tables.Tabular Data Embedding, Data Table Encoding-
13GPTLanguage modeling and text generationA transformer-based model trained on a large corpus to generate coherent and contextually relevant text.Text Generation, Text Completion, Language Modeling-
14BERTPre-training and fine-tuning on various NLP tasksA transformer-based model widely used for pre-training and fine-tuning on NLP tasks.Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
15MarianMTMultilingual Neural Machine TranslationA multilingual neural machine translation model based on the Marian framework.Machine Translation-
16BiTVision transformer for image classificationA vision transformer model pre-trained on large-scale datasets for image classification tasks.-Image Classification, Object Detection, Semantic Segmentation
17Transformer-XLTransformer model with extended contextA transformer model architecture that extends the context window, enabling longer-range dependencies.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
18XLMCross-lingual Language ModelA transformer-based model for cross-lingual language understanding and machine translation.Cross-lingual Language Understanding, Machine Translation-
19CTRLText generation with control codesA transformer-based model that allows fine-grained control over generated text using control codes.Text Generation, Controlled Text Generation-
20GPT-2Language modeling and text generationA transformer-based model similar to GPT but with a smaller architecture, trained on a large corpus to generate coherent and contextually relevant text.Text Generation, Text Completion, Language Modeling-
21Funnel TransformerImproving the efficiency and effectiveness of transformersA transformer-based model architecture that reduces the computational cost of transformers while maintaining their effectiveness.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
22*EfficientNet B0Efficient and Scalable CNNA family of convolutional neural network architectures that achieve high accuracy with fewer parameters and computations.-Image Classification, Object Detection
23ALBERTImprove the efficiency of BERTA lite version of BERT that uses parameter reduction techniques to achieve faster training and lower memory consumption.Classification, Translation, Named Entity Recognition (NER)-
24EfficientNetEfficient convolutional neural network architectureA convolutional neural network architecture that achieves state-of-the-art performance with significantly fewer parameters.-Image Classification, Object Detection, Semantic Segmentation
25MobileNetV3Efficient Mobile Neural Network for Computer VisionA lightweight and efficient neural network architecture designed for computer vision tasks on mobile devices.Image Classification, Object Detection, Semantic Segmentation-
26NezhaNeural Encoder for Zero-shot Transfer LearningA transformer-based model that enables zero-shot transfer learning by learning a shared semantic space.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
27BARTText generation and summarizationA denoising autoencoder model that can be used for text generation and summarization tasks.Text Generation, Summarization-
28ERNIEEnhanced representation through knowledge integrationA transformer-based model that enhances representation learning by integrating external knowledge sources.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
29ErnieMEnhanced representation through multitask learningA multitask learning framework that enhances representation learning by jointly training multiple downstream NLP tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
30FlauBERTFrench language representation learningA transformer-based model specifically trained for French language representation learning tasks.French Language Processing, Text Classification-
31LXMERTVision and Language Multimodal TransformerA multimodal transformer model that combines vision and language information for various tasks.Visual Question Answering (VQA), Visual Dialog, Image Captioning, Visual Grounding-
32PegasusPre-training with Extracted Gap Sentences for Abstractive SummarizationA transformer-based model trained for abstractive text summarization tasks.Text Summarization-
33XLNetGeneralized Autoregressive PretrainingA transformer-based model that leverages permutation-based training to learn bidirectional context.Language Modeling, Text Classification-
34BioGptProcessing biomedical textA variant of the GPT model specifically designed for processing biomedical text.Biomedical Text Processing, Named Entity Recognition (NER), Clinical Text Understanding-
35HubertAutomatic speech recognition with transformersA transformer-based model designed for automatic speech recognition tasks.Automatic Speech Recognition-
36REALMRetrieval-Augmented Language ModelA language model augmented with a dense retrieval mechanism to improve performance on text retrieval tasks.Information Retrieval, Text Classification, Question Answering (QA)-
37SpeechToTextTransformerTransformer for Speech-to-Text ConversionA transformer-based model designed specifically for speech-to-text conversion tasks.Speech-to-Text Conversion-
38XLM-VCross-lingual Language UnderstandingA transformer-based model for cross-lingual language understanding, leveraging multilingual embeddings.Cross-lingual Language Understanding-
39RoBERTaRobustly optimized BERT variantAn optimized variant of BERT (Bidirectional Encoder Representations from Transformers) for various NLP tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
40GPT NeoEfficient and scalable variant of GPTA transformer-based model architecture that provides an efficient and scalable variant of GPT for various natural language processing tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
41CamemBERTFrench language processing and text classificationA transformer-based model specifically trained for French language processing and text classification tasks.French Language Processing, Text Classification-
42DialoGPTConversational AI chatbotA transformer-based model trained for generating human-like conversational responses.Conversational AI, Chatbot-
43DistilBERTDistilled version of BERTA smaller and faster version of BERT with a similar performance on various NLP tasks.Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
44LiLTLanguage learning from transliterated textA transformer-based model for language learning that utilizes transliterated text as training data.Language Learning-
45LUKELanguage Understanding with Knowledge-based EntitiesA model that integrates knowledge-based entities into transformer-based language understanding tasks.Named Entity Recognition (NER), Relation Extraction, Knowledge Graph Completion-
46MobileBERTEfficient BERT for Mobile and Edge DevicesA compact and efficient version of BERT designed for deployment on mobile and edge devices.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
47MT5Multilingual Text-to-Text Transfer TransformerA transformer-based model capable of multilingual text-to-text transfer learning across various NLP tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
48RAGRetrieval-Augmented GenerationA model that combines retrieval and generation methods for open-domain question answering.Open-Domain Question Answering-
49ConvBERTText classification and named entity recognition (NER)A transformer-based model for text classification and named entity recognition (NER) tasks.Classification, Named Entity Recognition (NER), Sentiment Analysis-
50Megatron-GPT2High-performance GPT-2-based language modelA high-performance GPT-2-based language model developed using the Megatron framework.Text Generation, Text-
51PhoBERTPretrained language model for VietnameseA pretrained language model specifically designed for the Vietnamese language.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
52RoBERTa-PreLayerNormRoBERTa with PreLayerNormA variant of RoBERTa with the PreLayerNorm (PLN) technique, which improves training stability and efficiency.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
53BERTweetPre-trained BERT models for processing tweetsBERT models specifically trained on Twitter data for tweet processing tasks.Classification, Named Entity Recognition (NER), Sentiment Analysis-
54mBARTMultilingual Denoising AutoencoderA multilingual denoising autoencoder based on the BART framework, capable of generating text in multiple languages.Text Generation, Text Completion, Multilingual Language Modeling-
55Megatron-BERTHigh-performance BERT-based language modelA high-performance BERT-based language model developed using the Megatron framework.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
56SpeechToTextTransformer2Transformer model for Speech-to-Text ConversionAnother transformer-based model for speech-to-text conversion, providing an alternative approach.Speech-to-Text Conversion-
57BERT For Sequence GenerationText generation using BERT-based modelsFine-tuned BERT models for sequence generation tasks, such as text generation or summarization.Text Generation, Summarization-
58ConvNeXTLanguage modeling and text generationA transformer-based model for language modeling and text generation tasks.Language Modeling, Text Generation-
59ELECTRAPre-training method for language representation learningA pre-training method that replaces masked language modeling with a generator-discriminator setup for better language representation.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
60LongformerLong-range sequence modeling with transformersA transformer-based model architecture that extends the standard transformer to handle long-range dependencies.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
61RegNetRegularized Convolutional Neural NetworkA convolutional neural network architecture with regularization techniques for efficient and scalable training.-Image Classification, Object Detection, Semantic Segmentation
62SqueezeBERTLightweight BERT model with Squeeze-and-ExcitationA lightweight variant of BERT with Squeeze-and-Excitation (SE) blocks for efficient training and inference.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
63LayoutLMText and layout understanding for document analysisA transformer-based model that combines text and layout information for document understanding tasks.Document Understanding, OCR, Named Entity Recognition (NER)-
64MPNetMegatron Pretrained NetworkA model pretrained using the Megatron framework, designed for various NLP tasks with high performance.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
65VisualBERTIntegrating Visual Information with BERTA BERT-based model that incorporates visual information for multimodal understanding.-Vision-Language Tasks, Image Captioning, Visual Question Answering (VQA)
66Conditional DETRObject detection and instance segmentationA transformer-based model for object detection and instance segmentation tasks.-Object Detection, Instance Segmentation
67GPTBigCodeCode generation for programming languagesA transformer-based model trained on a large corpus of code to generate code snippets or complete programs for various programming languages.Code Generation, Programming Language Processing-
68M-CTC-TMusic Transcription with TransformerA transformer-based model designed for music transcription, converting audio into musical notation.Music Transcription-
69Pix2StructImage-to-Structure TranslationA transformer-based model for translating images into structured representations.-Image-to-Structure Translation
70ProphetNetPretrained Sequence-to-Sequence ModelA sequence-to-sequence model pretrained for various NLP tasks, based on the transformer architecture.Text Generation, Text Completion, Machine Translation, Summarization-
71SEWSimple and Efficient Word-level language modelA word-level language model that is simple and efficient, designed for various NLP tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
72T5Text-to-Text Transfer TransformerA text-to-text transfer transformer model that can be fine-tuned for various NLP tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
73DeBERTaImproving the effectiveness of BERTA transformer-based model that enhances BERT by addressing its limitations and improving performance on various NLP tasks.Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
74InformerTime series forecasting with transformersA transformer-based model for time series forecasting tasks, capturing long-term dependencies in the data.Time Series Forecasting-
75LEDLanguage model for efficient decodingA transformer-based language model designed for efficient decoding, suitable for constrained environments.Text Generation, Text Completion, Language Modeling-
76SwitchTransformersTransformers with Dynamic RoutingA library that provides implementations of various transformer models with dynamic routing capabilities.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)Image Classification, Object Detection, Semantic Segmentation
77WhisperUnsupervised Representation LearningA transformer-based model for unsupervised representation learning on audio data.Speech Representation Learning-
78XLM-ProphetNetCross-lingual Language GenerationA transformer-based model for cross-lingual language generation, extending the ProphetNet architecture.Cross-lingual Language Generation-
79XLM-RoBERTaCross-lingual Language RepresentationA cross-lingual variant of RoBERTa, providing multilingual representation learning.Cross-lingual Language Representation-
80Deformable DETRObject detection and instance segmentation with deformable attentionA transformer-based model for object detection and instance segmentation tasks, incorporating deformable attention mechanisms.-Object Detection, Instance Segmentation
81FNetImage generation with Fourier featuresA transformer-based model that generates images using Fourier features instead of traditional positional encodings.-Image Generation
82GPTSAN-japaneseJapanese language variant of GPT for sentiment analysisA version of GPT specifically designed and trained for sentiment analysis tasks in the Japanese language.Japanese Language
83SEW-DDeep version of Simple and Efficient Word-level language modelA deep variant of SEW for improved performance on NLP tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
84CPMChinese language processing and text generationA transformer-based model specifically designed for Chinese language processing and text generation tasks.Chinese Language Processing, Text Generation-
85GITGenerating informative text from structured dataA transformer-based model that generates informative text, such as explanations or summaries, from structured data inputs.Data-to-Text Generation, Structured Data Processing-
86LayoutXLMMultilingual document understanding with transformersA transformer-based model for multilingual document understanding, incorporating text and layout information.Multilingual Document Understanding, OCR, Named Entity Recognition (NER)-
87DETRObject detection and instance segmentationA transformer-based model for object detection and instance segmentation tasks.-Object Detection, Instance Segmentation
88GPT NeoXFurther improved version of GPT NeoAn advanced version of GPT Neo that incorporates additional enhancements and optimizations for natural language processing tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
89RemBERTTransformer model for codeA transformer-based model specifically designed for code-related tasks, such as code generation and understanding.Code Generation, Code Understanding-
90RoCBertRobustly optimized Chinese BERT variantA Chinese language variant of RoBERTa, optimized for various NLP tasks in Chinese text.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
91TAPASTable Parsing via TransformerA transformer-based model designed for table parsing, enabling natural language queries over tabular data.Table Parsing, Question Answering (QA) over Tabular Data-
92UPerNetUnified Perceptual Parsing NetworkA unified perceptual parsing network based on the transformer model, designed for image segmentation tasks.Semantic Segmentation, Image Parsing-
93Vision Transformer (ViT)Transformer-based model for image classificationA transformer-based model designed for image classification tasks, replacing convolutional layers with self-attention.-Image Classification, Object Detection, Semantic Segmentation
94Wav2Vec2Self-supervised Audio Representation LearningA transformer-based model for self-supervised audio representation learning, capturing phonetic information.Speech Recognition, Speech Representation Learning-
95PLBartPre-trained Language model for BARTA pre-trained variant of BART (Bidirectional and AutoRegressive Transformers) for various NLP tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
96DiTVision transformer for image classificationA transformer-based model for image classification tasks that applies vision transformers to process image data.-Image Classification, Object Detection, Semantic Segmentation
97DPRDense Passage RetrievalA transformer-based model for dense passage retrieval, enabling efficient and accurate retrieval of relevant passages.Passage Retrieval, Document Ranking-
98GLPNLearning global-local patterns in natural language processingA transformer-based model that captures both global and local patterns in text for various natural language processing tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
99LeViTVision transformer with less computationsA vision transformer model that reduces computational requirements by using fewer computations.-Image Classification, Object Detection, Semantic Segmentation
100NATNeural Architecture TransformerA transformer-based model that learns to design neural architectures for various tasks.Neural Architecture Search, AutoML-
101TAPEXTransformer model for text and program executionA transformer-based model capable of executing programs described in natural language text.Text-to-Program Execution, Natural Language Processing-
102VideoMAEVideo Motion Analysis EncoderA transformer-based model for video motion analysis tasks, encoding motion information in videos.-Video Motion Analysis, Action Recognition, Video Understanding
103Wav2Vec2-ConformerConformer-based variant of Wav2Vec2A variant of Wav2Vec2 that incorporates Conformer architecture, improving its performance on speech-related tasks.Speech Recognition, Speech Representation Learning-
104CLIPImage-text matching and zero-shot learningA transformer-based model that learns to match images and text, enabling zero-shot learning capabilities.-Image-Text Matching, Zero-Shot Learning
105XLS-RCross-lingual Speech RecognitionA transformer-based model for cross-lingual speech recognition, trained on multilingual speech data.Cross-lingual Speech Recognition-
106Audio Spectrogram TransformerProcessing audio spectrogramsA transformer model specifically designed for processing audio spectrograms.Automatic Speech Recognition (ASR), Sound Classification-
107M2M100Multilingual Multimodal TransformerA transformer-based model capable of multilingual and multimodal tasks, trained on 100 different languages.Machine Translation, Multilingual Text Classification, Multimodal Tasks-
108MEGAMultilingual Language Generation with TransformersA transformer-based model for multilingual language generation tasks, capable of producing text in multiple languages.Text Generation, Text Completion, Multilingual Language Modeling-
109BEiTVision transformer for image classificationCombines concepts from CNNs and transformers for image classification tasks.-Image Classification, Object Detection, Semantic Segmentation
110BigBird-PegasusText generation and summarizationA variant of the Pegasus model that incorporates the BigBird sparse attention mechanism.Text Generation, Summarization-
111BigBird-RoBERTaClassification and named entity recognitionA variant of the RoBERTa model that incorporates the BigBird sparse attention mechanism.Classification, Named Entity Recognition (NER)-
112CLIPSegImage segmentationA transformer-based model for image segmentation tasks.-Image Segmentation
113DPTObject detection and instance segmentation with deformable attentionA transformer-based model for object detection and instance segmentation tasks, incorporating deformable attention mechanisms.-Object Detection, Instance Segmentation
114Perceiver IOPerceiver with Input/output processingA transformer model architecture that handles input and output processing jointly, enabling cross-modal tasks.Multimodal Tasks-
115ReformerMemory-efficient TransformerA transformer model variant designed to be more memory-efficient by using reversible layers.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
116RoFormerRobustly optimized Transformer variant for imagesA transformer-based model specifically designed for image-related tasks, leveraging self-attention mechanisms.-Image Classification, Object Detection, Semantic Segmentation
117Swin TransformerShifted Window TransformerA transformer model that uses shifted windows to capture long-range dependencies in images.-Image Classification, Object Detection
118TrOCRTransformer-based OCR modelA transformer-based model designed for Optical Character Recognition (OCR) tasks, converting images to text.Optical Character Recognition (OCR)-
119Wav2Vec2PhonemePhoneme-level variants of Wav2Vec2Phoneme-level variants of Wav2Vec2 designed for speech recognition tasks at the phoneme level.Phoneme-level Speech Recognition-
120X-CLIPCross-modal Learning with CLIPA transformer-based model for cross-modal learning, incorporating the CLIP framework.-Vision-Language Tasks, Cross-modal Learning
121XLSR-Wav2Vec2Cross-lingual Speech RepresentationA variant of Wav2Vec2 trained for cross-lingual speech representation learning.Cross-lingual Speech Representation-
122BlenderbotConversational AI chatbotA chatbot model designed for multi-turn conversations that combines language and dialogue understanding.--
123BlenderbotSmallConversational AI chatbotA smaller version of Blenderbot, designed for multi-turn conversations with language and dialogue understanding capabilities.--
124BLIPImage classification and image captioningA transformer-based model for image classification and image captioning tasks.-Image Classification, Image Captioning
125ByT5Text translation, classification, and question answeringA transformer-based model trained on T5 architecture, suitable for text translation, classification, and question answering tasks.Translation, Text Classification, Question Answering (QA)-
126CvTCross Vision and TransformerA transformer-based model that combines vision and language understanding, enabling cross-modal tasks in computer vision.-Image-Text Matching, Vision-Language Tasks
127DeBERTa-v2Improved version of DeBERTaAn updated version of DeBERTa with improved performance and compatibility for various NLP tasks.Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
128DeiTVision transformer for image classificationA vision transformer model designed for image classification tasks.-Image Classification, Object Detection, Semantic Segmentation
129GroupViTVision transformer with group-based operationsA vision transformer model that incorporates group-based operations to enhance its representation capacity.-Image Classification, Object Detection, Semantic Segmentation
130LayoutLMv2Improved version of LayoutLM for document analysisAn enhanced version of LayoutLM with improved performance and additional capabilities for document analysis.Document Understanding, OCR, Named Entity Recognition (NER)-
131MaskFormerMasked Language Modeling with TransformersA transformer-based model architecture for masked language modeling tasks, such as pretraining BERT.Language Modeling, Pretraining BERT-
132SegFormerSegmentation Transformer for computer visionA transformer-based model designed for image segmentation tasks in computer vision.Semantic Segmentation, Object Detection-
133Time Series TransformerTransformer model for time series dataA transformer-based model designed specifically for time series data analysis and forecasting tasks.Time Series Forecasting, Anomaly Detection, Sequence Modeling-
134TimeSformerTime Series Transformer for video analysisA transformer-based model for video analysis and action recognition tasks, leveraging temporal information.-Video Action Recognition, Temporal Modeling
135Trajectory TransformerTransformer model for trajectory forecastingA transformer-based model designed for trajectory forecasting tasks, such as predicting object movement.Trajectory Forecasting, Object Movement Prediction-
136UniSpeechUnified Speech Recognition and Synthesis TransformerA unified transformer-based model for both speech recognition and speech synthesis tasks.Speech Recognition, Text-to-Speech Synthesis-
137UniSpeechSatSelf-supervised pre-training for UniSpeechA self-supervised pre-training method for UniSpeech, improving its performance on speech-related tasks.Speech Recognition, Text-to-Speech Synthesis-
138ALIGNJoint representation learning for textual and tabular dataEnables joint representation learning by aligning textual and tabular data.Text-Tabular Alignment, Joint Representation Learning-
139BORTLanguage modeling and reinforcement learningA transformer-based model for language modeling and reinforcement learning tasks.Language Modeling, Text Generation-
140DePlotData visualizationA transformer-based model that generates interactive and informative visualizations from data.Data Visualization-
141DETADocument extraction and text analysisA transformer-based model for document extraction, information retrieval, and text analysis tasks.Document Extraction, Information Retrieval, Text Analysis-
142DiNATNetwork traffic anomaly detectionA transformer-based model for network traffic anomaly detection, specifically designed for cybersecurity applications.Network Traffic Analysis, Anomaly Detection-
143JukeboxMusic generation with transformersA transformer-based model architecture for generating music with various styles and genres.Music Generation-
144mBART-50Compact version of mBART for resource-constrainedA compact version of mBART with reduced parameters and computational requirements.Text Generation, Text Completion, Multilingual Language Modeling-
145NyströmformerApproximating Full Transformers with NyströmA transformer variant that approximates full self-attention using the Nyström method for efficiency.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
146ViT HybridHybrid Architecture of Vision TransformerA hybrid architecture that combines vision transformer with convolutional neural networks for image understanding.-Image Classification, Object Detection, Semantic Segmentation
147X-MODCross-modal Language ModelingA transformer-based model for cross-modal language modeling, integrating vision and text.-Vision-Language Tasks, Cross-modal Language Modeling
148BARTphoText-to-speech synthesisA variant of BART model for text-to-speech synthesis tasks.Text-to-Speech Synthesis-
149BridgeTowerLanguage modeling and text generationA transformer-based model for language modeling and text generation tasks.Text Generation, Language Modeling-
150CodeGenCode generationA transformer-based model for generating code.Code Generation-
151GPT-JJapanese language variant of GPT-2A version of GPT-2 specifically designed and trained for Japanese language understanding and generation tasks.Japanese Language Processing, Text Generation-
152LLaMALabel-agnostic learning with transformersA transformer-based model that learns to perform tasks without explicit labels, leveraging self-supervision.Self-Supervised Learning, Representation Learning, Clustering-
153MarkupLMTransformer for document structure understandingA transformer-based model for understanding document structure and semantic relationships in text.Document Structure Understanding, Semantic Analysis-
154PoolFormerPooling-based Vision TransformerA vision transformer model that incorporates pooling operations for handling images of varying sizes.-Image Classification, Object Detection, Semantic Segmentation
155QDQBertQuery-Doc Bidirectional TransformerA transformer model specifically designed for query-document ranking and retrieval tasks.Information Retrieval, Question Answering, Document Ranking-
156ViLTVision-and-Language TransformerA transformer-based model that combines vision and language understanding for multimodal tasks.-Vision-Language Tasks, Image Captioning, Visual Question Answering (VQA)
157BARThezText generation and summarizationA variant of BART model trained specifically for the French language.Text Generation, Summarization-
158DonutAnomaly detection in time series dataA transformer-based model for detecting anomalies in time series data, suitable for various applications such as monitoring systems.-Anomaly Detection, Time Series Analysis
159ImageGPTImage generation with transformersA transformer-based model architecture for generating images based on text prompts.-Image Generation
160OPTOptimization Pretraining TransformerA transformer model pre-trained for optimization tasks, such as combinatorial optimization and planning.Combinatorial Optimization, Planning-
161SplinterSpeech and Language Integrated TransformerA transformer-based model designed for integrating speech and language tasks.Speech-to-Text Conversion, Speech Recognition, Natural Language Processing-
162XGLMCross-lingual Language ModelingA transformer-based model for cross-lingual language modeling, learning representations across languages.Cross-lingual Language Modeling-
163YOSOYou Only Speak OnceA transformer-based model for low-resource machine translation, using only monolingual data.Low-resource Machine Translation-
164EfficientFormerEfficient transformer architecture for sequence modelingA transformer-based model architecture designed to improve efficiency and performance for sequence modeling tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Machine Translation-
165ESMProtein structure predictionA transformer-based model for predicting the 3D structure of proteins from their amino acid sequences.Protein Structure Prediction, Bioinformatics-
166Mask2FormerTransformer-based masked image inpaintingA transformer-based model for masked image inpainting, reconstructing missing parts of an image.-Image Inpainting
167MGP-STRMusic Generation with Pre-trained ModelA pre-trained model for generating music, leveraging a transformer-based architecture.Music Generation-
168NLLBNatural Language Logic BoardA model that combines natural language understanding and symbolic logic reasoning for language understanding.Natural Language Understanding, Logic Reasoning-
169T5v1.1Version 1.1 of the Text-to-Text Transfer TransformerAn updated version of the T5 model with improvements and enhancements for better performance.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
170TVLTTiny Vision-Language TransformerA compact vision-language transformer model designed for efficient processing of vision and language inputs.-Vision-Language Tasks, Image Captioning, Visual Question Answering (VQA)
171WavLMLanguage Modeling for SpeechA transformer-based model for language modeling on speech data.Speech Language Modeling-
172XLM-RoBERTa-XLCross-lingual Language RepresentationA larger variant of XLM-RoBERTa for cross-lingual language representation learning.Cross-lingual Language Representation-
173Chinese-CLIPChinese language processing and image-text matchingA transformer-based model designed for Chinese language processing and image-text matching tasks.Chinese Language Processing, Image-Text Matching-
174CLAPImage-text representation learningA transformer-based model for learning joint image-text representations.-Image-Text Representation Learning
175Decision TransformerDecision-making tasksA transformer-based model designed for decision-making tasks that require complex reasoning and inference.Decision-Making, Reasoning, Inference-
176BLIP-2Image classificationAn updated version of BLIP, specializing in image classification tasks.-Image Classification
177CANINEDocument classificationA transformer-based model for document classification tasks.Document Classification-
178GraphormerGraph representation learning with transformersA transformer-based model architecture specifically designed for graph representation learning.Graph Representation Learning, Node Classification, Graph Classification, Graph Generation-
179I-BERTIncremental learning with transformersA transformer-based model architecture that supports incremental learning, allowing continual model updates.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
180MatChaMatching Challenge TransformerA transformer-based model for solving matching challenge tasks, such as natural language inference.Natural Language Inference, Textual Entailment-
181mLUKEMultilingual Language Understanding with KnowledgeA multilingual model that incorporates knowledge-based entities for language understanding tasks.Named Entity Recognition (NER), Relation Extraction, Knowledge Graph Completion-
182MobileViTVision Transformer for Mobile and Edge DevicesA mobile-friendly version of Vision Transformer, optimized for efficient deployment on mobile and edge devices.-Image Classification, Object Detection, Semantic Segmentation
183OWL-ViTObject-Wide Learning Vision TransformerA vision transformer model designed for object detection and recognition tasks in computer vision.Object Detection, Object Recognition-
184SpeechT5T5-based model for Speech-to-TextA transformer-based model trained for speech-to-text conversion tasks using the T5 architecture.Speech-to-Text Conversion-
185Swin Transformer V2Advanced version of Swin TransformerAn advanced version of the Swin Transformer model, incorporating improvements for better performance in vision tasks.-Image Classification, Object Detection, Semantic Segmentation
186ViTMAEVision Transformer for Multi-label Image ClassificationA vision transformer model designed specifically for multi-label image classification tasks.-Multi-label Image Classification
187BLOOMLanguage modeling and text generationA transformer-based model designed for language modeling and text generation tasks.Text Generation, Language Modeling-
188ConvNeXTV2Language modeling and text generationAn improved version of ConvNeXT for language modeling and text generation tasks.Language Modeling, Text Generation-
189CPM-AntChinese language processing and text generationAn enhanced version of CPM with better performance and compatibility for Chinese language processing and text generation tasks.Chinese Language Processing, Text Generation-
190GPT-Sw3Swedish language variant of GPTA version of GPT specifically designed and trained for Swedish language understanding and generation tasks.Swedish Language Processing, Text Generation-
191LongT5Text-to-Text Transfer TransformerA transformer-based model for text-to-text transfer learning, capable of performing various NLP tasks.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
192OneFormerTransformer for Text-to-Text Transfer LearningA transformer-based model designed for text-to-text transfer learning tasks across multiple languages.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Question Answering (QA)-
193Table TransformerTransformer model for table-related tasksA transformer-based model specifically designed for table-related tasks, such as table understanding and extraction.Table Understanding, Table Extraction-
194VANVision-Adaptive Transformer for Video AnalysisA transformer model designed specifically for video analysis tasks, adapting to the dynamic visual context.-Video Classification, Action Recognition, Video Understanding
195AltCLIPPredicting the relationship between two imagesA transformer-based model that learns to predict the relationship between two images.-Image-Text Matching, Vision-Language Tasks
196MVPMultimodal Variational PretrainingA multimodal pretraining framework that combines text and image modalities for various downstream tasks.Multimodal Tasks-
197NLLB-MOENatural Language Logic Board with MOEAn enhanced version of NLLB that incorporates Mixture of Experts (MOE) for improved performance.Natural Language Understanding, Logic Reasoning-
198PEGASUS-XLarge-Scale Pre-training for Abstractive SummarizationA variant of Pegasus with larger model capacity, trained on a large-scale corpus for abstractive summarization.Text Summarization-
199Swin2SRSwin Transformer for Super-ResolutionA variant of the Swin Transformer model specifically designed for super-resolution tasks in computer vision.-Super-Resolution Image Reconstruction
200UL2Unsupervised Language LearningA transformer-based model designed for unsupervised language learning tasks, leveraging self-supervised learning techniques.Language Modeling, Text Representation Learning-
201ViTMSNVision Transformer with Masked Spatial NeuronsA vision transformer model with masked spatial neurons, enabling better spatial representation learning.-Image Classification, Object Detection, Semantic Segmentation
202YOLOSYou Only Learn One SentenceA transformer-based model that learns sentence representations for zero-shot classification.Zero-shot Text Classification-
203FLAN-T5Fast and lightweight adapter-based transformers for T5A transformer-based model architecture that enables efficient and lightweight adaptation of T5 models.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Machine Translation-
204GPT NeoX JapaneseJapanese language variant of GPT NeoXA version of GPT NeoX specifically designed and trained for Japanese language understanding and generation tasks.Japanese Language Processing, Text Generation-
205LayoutLMv3Further improved version of LayoutLM for documentsAn advanced version of LayoutLM that incorporates additional enhancements and optimizations.Document Understanding, OCR, Named Entity Recognition (NER)-
206FLAN-UL2Fast and lightweight adapter-based transformers for UL2A transformer-based model architecture that enables efficient and lightweight adaptation of UL2 models.Text Classification, Named Entity Recognition (NER), Sentiment Analysis, Machine Translation-
207FLAVAFluency and acceptability evaluation for machine translationA transformer-based model that evaluates the fluency and acceptability of machine translations.Machine Translation Evaluation-

Conclusion
#

The purpose of this article is to give you a general understanding of the capabilities of the Transformer architecture. It is now up to you to decide which architecture is most suitable to your needs based on the task you have in front of you. Afterwards, you can use hugginface or tfhub to see if there are already models that have been trained using these architectures. The chances are that you will be able to complete your work using zero-shot transfer learning are high.

Dr. Hari Thapliyaal's avatar

Dr. Hari Thapliyaal

Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master's degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set. With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management. In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights. Hari's professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.

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