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Title: GitHub - texonom/transformers.js: State-of-the-art Machine Learning for the web. Run πŸ€— Transformers directly in your browser, with no need for a server!

Open Graph Title: GitHub - texonom/transformers.js: State-of-the-art Machine Learning for the web. Run πŸ€— Transformers directly in your browser, with no need for a server!

X Title: GitHub - texonom/transformers.js: State-of-the-art Machine Learning for the web. Run πŸ€— Transformers directly in your browser, with no need for a server!

Description: State-of-the-art Machine Learning for the web. Run πŸ€— Transformers directly in your browser, with no need for a server! - texonom/transformers.js

Open Graph Description: State-of-the-art Machine Learning for the web. Run πŸ€— Transformers directly in your browser, with no need for a server! - texonom/transformers.js

X Description: State-of-the-art Machine Learning for the web. Run πŸ€— Transformers directly in your browser, with no need for a server! - texonom/transformers.js

Opengraph URL: https://github.com/texonom/transformers.js

X: @github

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(docs)https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.AudioClassificationPipeline
(models)https://huggingface.co/models?pipeline_tag=audio-classification&library=transformers.js
Audio-to-Audiohttps://huggingface.co/tasks/audio-to-audio
Automatic Speech Recognitionhttps://huggingface.co/tasks/automatic-speech-recognition
(docs)https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.AutomaticSpeechRecognitionPipeline
(models)https://huggingface.co/models?pipeline_tag=automatic-speech-recognition&library=transformers.js
Text-to-Speechhttps://huggingface.co/tasks/text-to-speech
(docs)https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextToAudioPipeline
(models)https://huggingface.co/models?pipeline_tag=text-to-audio&library=transformers.js
https://patch-diff.githubusercontent.com/texonom/transformers.js#tabular
Tabular Classificationhttps://huggingface.co/tasks/tabular-classification
Tabular Regressionhttps://huggingface.co/tasks/tabular-regression
https://patch-diff.githubusercontent.com/texonom/transformers.js#multimodal
Document Question Answeringhttps://huggingface.co/tasks/document-question-answering
(docs)https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.DocumentQuestionAnsweringPipeline
(models)https://huggingface.co/models?pipeline_tag=document-question-answering&library=transformers.js
Image-to-Texthttps://huggingface.co/tasks/image-to-text
(docs)https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.ImageToTextPipeline
(models)https://huggingface.co/models?pipeline_tag=image-to-text&library=transformers.js
Text-to-Imagehttps://huggingface.co/tasks/text-to-image
Visual Question Answeringhttps://huggingface.co/tasks/visual-question-answering
Zero-Shot Audio Classificationhttps://huggingface.co/learn/audio-course/chapter4/classification_models#zero-shot-audio-classification
(docs)https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.ZeroShotAudioClassificationPipeline
(models)https://huggingface.co/models?other=zero-shot-audio-classification&library=transformers.js
Zero-Shot Image Classificationhttps://huggingface.co/tasks/zero-shot-image-classification
(docs)https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.ZeroShotImageClassificationPipeline
(models)https://huggingface.co/models?pipeline_tag=zero-shot-image-classification&library=transformers.js
Zero-Shot Object Detectionhttps://huggingface.co/tasks/zero-shot-object-detection
(docs)https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.ZeroShotObjectDetectionPipeline
(models)https://huggingface.co/models?other=zero-shot-object-detection&library=transformers.js
https://patch-diff.githubusercontent.com/texonom/transformers.js#reinforcement-learning
Reinforcement Learninghttps://huggingface.co/tasks/reinforcement-learning
https://patch-diff.githubusercontent.com/texonom/transformers.js#models
ALBERThttps://huggingface.co/docs/transformers/model_doc/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representationshttps://arxiv.org/abs/1909.11942
Audio Spectrogram Transformerhttps://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformer
AST: Audio Spectrogram Transformerhttps://arxiv.org/abs/2104.01778
BARThttps://huggingface.co/docs/transformers/model_doc/bart
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensionhttps://arxiv.org/abs/1910.13461
BEiThttps://huggingface.co/docs/transformers/model_doc/beit
BEiT: BERT Pre-Training of Image Transformershttps://arxiv.org/abs/2106.08254
BERThttps://huggingface.co/docs/transformers/model_doc/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://arxiv.org/abs/1810.04805
Blenderbothttps://huggingface.co/docs/transformers/model_doc/blenderbot
Recipes for building an open-domain chatbothttps://arxiv.org/abs/2004.13637
BlenderbotSmallhttps://huggingface.co/docs/transformers/model_doc/blenderbot-small
Recipes for building an open-domain chatbothttps://arxiv.org/abs/2004.13637
BLOOMhttps://huggingface.co/docs/transformers/model_doc/bloom
BigScience Workshophttps://bigscience.huggingface.co/
CamemBERThttps://huggingface.co/docs/transformers/model_doc/camembert
CamemBERT: a Tasty French Language Modelhttps://arxiv.org/abs/1911.03894
Chinese-CLIPhttps://huggingface.co/docs/transformers/model_doc/chinese_clip
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinesehttps://arxiv.org/abs/2211.01335
CLAPhttps://huggingface.co/docs/transformers/model_doc/clap
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentationhttps://arxiv.org/abs/2211.06687
CLIPhttps://huggingface.co/docs/transformers/model_doc/clip
Learning Transferable Visual Models From Natural Language Supervisionhttps://arxiv.org/abs/2103.00020
CLIPSeghttps://huggingface.co/docs/transformers/model_doc/clipseg
Image Segmentation Using Text and Image Promptshttps://arxiv.org/abs/2112.10003
CodeGenhttps://huggingface.co/docs/transformers/model_doc/codegen
A Conversational Paradigm for Program Synthesishttps://arxiv.org/abs/2203.13474
CodeLlamahttps://huggingface.co/docs/transformers/model_doc/llama_code
Code Llama: Open Foundation Models for Codehttps://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/
Coherehttps://huggingface.co/docs/transformers/main/model_doc/cohere
Command-R: Retrieval Augmented Generation at Production Scalehttps://txt.cohere.com/command-r/
ConvBERThttps://huggingface.co/docs/transformers/model_doc/convbert
ConvBERT: Improving BERT with Span-based Dynamic Convolutionhttps://arxiv.org/abs/2008.02496
ConvNeXThttps://huggingface.co/docs/transformers/model_doc/convnext
A ConvNet for the 2020shttps://arxiv.org/abs/2201.03545
ConvNeXTV2https://huggingface.co/docs/transformers/model_doc/convnextv2
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencodershttps://arxiv.org/abs/2301.00808
DeBERTahttps://huggingface.co/docs/transformers/model_doc/deberta
DeBERTa: Decoding-enhanced BERT with Disentangled Attentionhttps://arxiv.org/abs/2006.03654
DeBERTa-v2https://huggingface.co/docs/transformers/model_doc/deberta-v2
DeBERTa: Decoding-enhanced BERT with Disentangled Attentionhttps://arxiv.org/abs/2006.03654
Decision Transformerhttps://huggingface.co/docs/transformers/model_doc/decision_transformer
Decision Transformer: Reinforcement Learning via Sequence Modelinghttps://arxiv.org/abs/2106.01345
DeiThttps://huggingface.co/docs/transformers/model_doc/deit
Training data-efficient image transformers & distillation through attentionhttps://arxiv.org/abs/2012.12877
Depth Anythinghttps://huggingface.co/docs/transformers/main/model_doc/depth_anything
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datahttps://arxiv.org/abs/2401.10891
Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondhttps://arxiv.org/abs/2410.02073
DETRhttps://huggingface.co/docs/transformers/model_doc/detr
End-to-End Object Detection with Transformershttps://arxiv.org/abs/2005.12872
DINOv2https://huggingface.co/docs/transformers/model_doc/dinov2
DINOv2: Learning Robust Visual Features without Supervisionhttps://arxiv.org/abs/2304.07193
DistilBERThttps://huggingface.co/docs/transformers/model_doc/distilbert
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterhttps://arxiv.org/abs/1910.01108
DistilGPT2https://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation
DistilRoBERTahttps://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation
DistilmBERThttps://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation
DiThttps://huggingface.co/docs/transformers/model_doc/dit
DiT: Self-supervised Pre-training for Document Image Transformerhttps://arxiv.org/abs/2203.02378
Donuthttps://huggingface.co/docs/transformers/model_doc/donut
OCR-free Document Understanding Transformerhttps://arxiv.org/abs/2111.15664
DPThttps://huggingface.co/docs/transformers/master/model_doc/dpt
Vision Transformers for Dense Predictionhttps://arxiv.org/abs/2103.13413
EfficientNethttps://huggingface.co/docs/transformers/model_doc/efficientnet
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkshttps://arxiv.org/abs/1905.11946
ELECTRAhttps://huggingface.co/docs/transformers/model_doc/electra
ELECTRA: Pre-training text encoders as discriminators rather than generatorshttps://arxiv.org/abs/2003.10555
ESMhttps://huggingface.co/docs/transformers/model_doc/esm
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequenceshttps://www.pnas.org/content/118/15/e2016239118
Language models enable zero-shot prediction of the effects of mutations on protein functionhttps://doi.org/10.1101/2021.07.09.450648
Language models of protein sequences at the scale of evolution enable accurate structure predictionhttps://doi.org/10.1101/2022.07.20.500902
Falconhttps://huggingface.co/docs/transformers/model_doc/falcon
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterizationhttps://arxiv.org/abs/2303.14189
FLAN-T5https://huggingface.co/docs/transformers/model_doc/flan-t5
google-research/t5xhttps://github.com/google-research/t5x/blob/main/docs/models.md#flan-t5-checkpoints
Florence-2: Advancing a Unified Representation for a Variety of Vision Taskshttps://arxiv.org/abs/2311.06242
Gemmahttps://huggingface.co/docs/transformers/main/model_doc/gemma
Gemma: Open Models Based on Gemini Technology and Researchhttps://blog.google/technology/developers/gemma-open-models/
Gemma2https://huggingface.co/docs/transformers/main/model_doc/gemma2
Gemma2: Open Models Based on Gemini Technology and Researchhttps://blog.google/technology/developers/google-gemma-2/
GLPNhttps://huggingface.co/docs/transformers/model_doc/glpn
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepthhttps://arxiv.org/abs/2201.07436
GPT Neohttps://huggingface.co/docs/transformers/model_doc/gpt_neo
EleutherAI/gpt-neohttps://github.com/EleutherAI/gpt-neo
GPT NeoXhttps://huggingface.co/docs/transformers/model_doc/gpt_neox
GPT-NeoX-20B: An Open-Source Autoregressive Language Modelhttps://arxiv.org/abs/2204.06745
GPT-2https://huggingface.co/docs/transformers/model_doc/gpt2
Language Models are Unsupervised Multitask Learnershttps://blog.openai.com/better-language-models/
GPT-Jhttps://huggingface.co/docs/transformers/model_doc/gptj
kingoflolz/mesh-transformer-jaxhttps://github.com/kingoflolz/mesh-transformer-jax/
GPTBigCodehttps://huggingface.co/docs/transformers/model_doc/gpt_bigcode
SantaCoder: don't reach for the stars!https://arxiv.org/abs/2301.03988
Granitehttps://huggingface.co/docs/transformers/main/model_doc/granite
Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Schedulerhttps://arxiv.org/abs/2408.13359
GroupViThttps://huggingface.co/docs/transformers/model_doc/groupvit
GroupViT: Semantic Segmentation Emerges from Text Supervisionhttps://arxiv.org/abs/2202.11094
HerBERThttps://huggingface.co/docs/transformers/model_doc/herbert
KLEJ: Comprehensive Benchmark for Polish Language Understandinghttps://www.aclweb.org/anthology/2020.acl-main.111.pdf
Hierahttps://huggingface.co/docs/transformers/model_doc/hiera
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistleshttps://arxiv.org/pdf/2306.00989
Huberthttps://huggingface.co/docs/transformers/model_doc/hubert
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitshttps://arxiv.org/abs/2106.07447
Idefics3https://huggingface.co/docs/transformers/model_doc/idefics3
Building and better understanding vision-language models: insights and future directionshttps://arxiv.org/abs/2408.12637
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Modelshttps://arxiv.org/pdf/2308.16149
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generationhttps://arxiv.org/abs/2410.13848
Jina CLIP: Your CLIP Model Is Also Your Text Retrieverhttps://arxiv.org/abs/2405.20204
LongT5https://huggingface.co/docs/transformers/model_doc/longt5
LongT5: Efficient Text-To-Text Transformer for Long Sequenceshttps://arxiv.org/abs/2112.07916
LLaMAhttps://huggingface.co/docs/transformers/model_doc/llama
LLaMA: Open and Efficient Foundation Language Modelshttps://arxiv.org/abs/2302.13971
Llama2https://huggingface.co/docs/transformers/model_doc/llama2
Llama2: Open Foundation and Fine-Tuned Chat Modelshttps://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/XXX
LLaVahttps://huggingface.co/docs/transformers/model_doc/llava
Visual Instruction Tuninghttps://arxiv.org/abs/2304.08485
LLaVA-OneVisionhttps://huggingface.co/docs/transformers/model_doc/llava_onevision
LLaVA-OneVision: Easy Visual Task Transferhttps://arxiv.org/abs/2408.03326
M2M100https://huggingface.co/docs/transformers/model_doc/m2m_100
Beyond English-Centric Multilingual Machine Translationhttps://arxiv.org/abs/2010.11125
MarianMThttps://huggingface.co/docs/transformers/model_doc/marian
OPUShttp://opus.nlpl.eu/
Marian Frameworkhttps://marian-nmt.github.io/
MaskFormerhttps://huggingface.co/docs/transformers/model_doc/maskformer
Per-Pixel Classification is Not All You Need for Semantic Segmentationhttps://arxiv.org/abs/2107.06278
mBARThttps://huggingface.co/docs/transformers/model_doc/mbart
Multilingual Denoising Pre-training for Neural Machine Translationhttps://arxiv.org/abs/2001.08210
mBART-50https://huggingface.co/docs/transformers/model_doc/mbart
Multilingual Translation with Extensible Multilingual Pretraining and Finetuninghttps://arxiv.org/abs/2008.00401
MusicGenhttps://huggingface.co/docs/transformers/model_doc/musicgen
Simple and Controllable Music Generationhttps://arxiv.org/abs/2306.05284
MGP-STRhttps://huggingface.co/docs/transformers/model_doc/mgp-str
Multi-Granularity Prediction for Scene Text Recognitionhttps://arxiv.org/abs/2209.03592
Mistralhttps://huggingface.co/docs/transformers/model_doc/mistral
Mistral AIhttps://mistral.ai
MMShttps://huggingface.co/docs/transformers/model_doc/mms
Scaling Speech Technology to 1,000+ Languageshttps://arxiv.org/abs/2305.13516
MobileBERThttps://huggingface.co/docs/transformers/model_doc/mobilebert
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Deviceshttps://arxiv.org/abs/2004.02984
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Traininghttps://arxiv.org/abs/2311.17049
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Caseshttps://arxiv.org/abs/2402.14905
MobileNetV1https://huggingface.co/docs/transformers/model_doc/mobilenet_v1
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationshttps://arxiv.org/abs/1704.04861
MobileNetV2https://huggingface.co/docs/transformers/model_doc/mobilenet_v2
MobileNetV2: Inverted Residuals and Linear Bottleneckshttps://arxiv.org/abs/1801.04381
Searching for MobileNetV3https://arxiv.org/abs/1905.02244
MobileNetV4 - Universal Models for the Mobile Ecosystemhttps://arxiv.org/abs/2404.10518
MobileViThttps://huggingface.co/docs/transformers/model_doc/mobilevit
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformerhttps://arxiv.org/abs/2110.02178
MobileViTV2https://huggingface.co/docs/transformers/model_doc/mobilevitv2
Separable Self-attention for Mobile Vision Transformershttps://arxiv.org/abs/2206.02680
moondreamhttps://github.com/vikhyat/moondream
MPNethttps://huggingface.co/docs/transformers/model_doc/mpnet
MPNet: Masked and Permuted Pre-training for Language Understandinghttps://arxiv.org/abs/2004.09297
MPThttps://huggingface.co/docs/transformers/model_doc/mpt
llm-foundryhttps://github.com/mosaicml/llm-foundry/
MT5https://huggingface.co/docs/transformers/model_doc/mt5
mT5: A massively multilingual pre-trained text-to-text transformerhttps://arxiv.org/abs/2010.11934
NLLBhttps://huggingface.co/docs/transformers/model_doc/nllb
No Language Left Behind: Scaling Human-Centered Machine Translationhttps://arxiv.org/abs/2207.04672
Nougathttps://huggingface.co/docs/transformers/model_doc/nougat
Nougat: Neural Optical Understanding for Academic Documentshttps://arxiv.org/abs/2308.13418
OLMohttps://huggingface.co/docs/transformers/master/model_doc/olmo
OLMo: Accelerating the Science of Language Modelshttps://arxiv.org/abs/2402.00838
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Frameworkhttps://arxiv.org/abs/2404.14619
OPThttps://huggingface.co/docs/transformers/master/model_doc/opt
OPT: Open Pre-trained Transformer Language Modelshttps://arxiv.org/abs/2205.01068
OWL-ViThttps://huggingface.co/docs/transformers/model_doc/owlvit
Simple Open-Vocabulary Object Detection with Vision Transformershttps://arxiv.org/abs/2205.06230
OWLv2https://huggingface.co/docs/transformers/model_doc/owlv2
Scaling Open-Vocabulary Object Detectionhttps://arxiv.org/abs/2306.09683
PatchTSMixerhttps://huggingface.co/docs/transformers/main/model_doc/patchtsmixer
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecastinghttps://arxiv.org/abs/2306.09364
PatchTSThttps://huggingface.co/docs/transformers/main/model_doc/patchtst
A Time Series is Worth 64 Words: Long-term Forecasting with Transformershttps://arxiv.org/abs/2211.14730
Phihttps://huggingface.co/docs/transformers/main/model_doc/phi
Textbooks Are All You Needhttps://arxiv.org/abs/2306.11644
Textbooks Are All You Need II: phi-1.5 technical reporthttps://arxiv.org/abs/2309.05463
Phi3https://huggingface.co/docs/transformers/main/model_doc/phi3
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonehttps://arxiv.org/abs/2404.14219
PVThttps://huggingface.co/docs/transformers/main/model_doc/pvt
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionshttps://arxiv.org/pdf/2102.12122.pdf
pyannote/pyannote-audiohttps://github.com/pyannote/pyannote-audio
Qwen2https://huggingface.co/docs/transformers/model_doc/qwen2
Qwen Technical Reporthttps://arxiv.org/abs/2309.16609
Qwen2-VLhttps://huggingface.co/docs/transformers/model_doc/qwen2_vl
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyondhttps://arxiv.org/abs/2308.12966
ResNethttps://huggingface.co/docs/transformers/model_doc/resnet
Deep Residual Learning for Image Recognitionhttps://arxiv.org/abs/1512.03385
RoBERTahttps://huggingface.co/docs/transformers/model_doc/roberta
RoBERTa: A Robustly Optimized BERT Pretraining Approachhttps://arxiv.org/abs/1907.11692
RoFormerhttps://huggingface.co/docs/transformers/model_doc/roformer
RoFormer: Enhanced Transformer with Rotary Position Embeddinghttps://arxiv.org/abs/2104.09864
RT-DETRhttps://huggingface.co/docs/transformers/model_doc/rt_detr
DETRs Beat YOLOs on Real-time Object Detectionhttps://arxiv.org/abs/2304.08069
Sapiens: Foundation for Human Vision Modelshttps://arxiv.org/pdf/2408.12569
SegFormerhttps://huggingface.co/docs/transformers/model_doc/segformer
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformershttps://arxiv.org/abs/2105.15203
Segment Anythinghttps://huggingface.co/docs/transformers/model_doc/sam
Segment Anythinghttps://arxiv.org/pdf/2304.02643v1.pdf
SigLIPhttps://huggingface.co/docs/transformers/main/model_doc/siglip
Sigmoid Loss for Language Image Pre-Traininghttps://arxiv.org/abs/2303.15343
SpeechT5https://huggingface.co/docs/transformers/model_doc/speecht5
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processinghttps://arxiv.org/abs/2110.07205
SqueezeBERThttps://huggingface.co/docs/transformers/model_doc/squeezebert
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?https://arxiv.org/abs/2006.11316
StableLmhttps://huggingface.co/docs/transformers/model_doc/stablelm
StableLM 3B 4E1T (Technical Report)https://stability.wandb.io/stability-llm/stable-lm/reports/StableLM-3B-4E1T--VmlldzoyMjU4?accessToken=u3zujipenkx5g7rtcj9qojjgxpconyjktjkli2po09nffrffdhhchq045vp0wyfo
Starcoder2https://huggingface.co/docs/transformers/main/model_doc/starcoder2
StarCoder 2 and The Stack v2: The Next Generationhttps://arxiv.org/abs/2402.19173
Swin Transformerhttps://huggingface.co/docs/transformers/model_doc/swin
Swin Transformer: Hierarchical Vision Transformer using Shifted Windowshttps://arxiv.org/abs/2103.14030
Swin2SRhttps://huggingface.co/docs/transformers/model_doc/swin2sr
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restorationhttps://arxiv.org/abs/2209.11345
T5https://huggingface.co/docs/transformers/model_doc/t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformerhttps://arxiv.org/abs/1910.10683
T5v1.1https://huggingface.co/docs/transformers/model_doc/t5v1.1
google-research/text-to-text-transfer-transformerhttps://github.com/google-research/text-to-text-transfer-transformer/blob/main/released_checkpoints.md#t511
Table Transformerhttps://huggingface.co/docs/transformers/model_doc/table-transformer
PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documentshttps://arxiv.org/abs/2110.00061
TrOCRhttps://huggingface.co/docs/transformers/model_doc/trocr
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Modelshttps://arxiv.org/abs/2109.10282
UniSpeechhttps://huggingface.co/docs/transformers/model_doc/unispeech
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Datahttps://arxiv.org/abs/2101.07597
UniSpeechSathttps://huggingface.co/docs/transformers/model_doc/unispeech-sat
UNISPEECH-SAT: UNIVERSAL SPEECH REPRESENTATION LEARNING WITH SPEAKER AWARE PRE-TRAININGhttps://arxiv.org/abs/2110.05752
Vision Transformer (ViT)https://huggingface.co/docs/transformers/model_doc/vit
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalehttps://arxiv.org/abs/2010.11929
ViTMAEhttps://huggingface.co/docs/transformers/model_doc/vit_mae
Masked Autoencoders Are Scalable Vision Learnershttps://arxiv.org/abs/2111.06377
ViTMattehttps://huggingface.co/docs/transformers/model_doc/vitmatte
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformershttps://arxiv.org/abs/2305.15272
ViTMSNhttps://huggingface.co/docs/transformers/model_doc/vit_msn
Masked Siamese Networks for Label-Efficient Learninghttps://arxiv.org/abs/2204.07141
ViTPosehttps://huggingface.co/docs/transformers/model_doc/vitpose
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimationhttps://arxiv.org/abs/2204.12484
VITShttps://huggingface.co/docs/transformers/model_doc/vits
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechhttps://arxiv.org/abs/2106.06103
Wav2Vec2https://huggingface.co/docs/transformers/model_doc/wav2vec2
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationshttps://arxiv.org/abs/2006.11477
Wav2Vec2-BERThttps://huggingface.co/docs/transformers/main/model_doc/wav2vec2-bert
Seamless: Multilingual Expressive and Streaming Speech Translationhttps://ai.meta.com/research/publications/seamless-multilingual-expressive-and-streaming-speech-translation/
WavLMhttps://huggingface.co/docs/transformers/model_doc/wavlm
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processinghttps://arxiv.org/abs/2110.13900
Whisperhttps://huggingface.co/docs/transformers/model_doc/whisper
Robust Speech Recognition via Large-Scale Weak Supervisionhttps://cdn.openai.com/papers/whisper.pdf
XLMhttps://huggingface.co/docs/transformers/model_doc/xlm
Cross-lingual Language Model Pretraininghttps://arxiv.org/abs/1901.07291
XLM-RoBERTahttps://huggingface.co/docs/transformers/model_doc/xlm-roberta
Unsupervised Cross-lingual Representation Learning at Scalehttps://arxiv.org/abs/1911.02116
YOLOShttps://huggingface.co/docs/transformers/model_doc/yolos
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detectionhttps://arxiv.org/abs/2106.00666
huggingface.co/docs/transformers.jshttps://huggingface.co/docs/transformers.js
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