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Title: GitHub - sharp0111/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! · GitHub

Open Graph Title: GitHub - sharp0111/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

X Title: GitHub - sharp0111/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

Description: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! - sharp0111/transformers.js

Open Graph Description: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! - sharp0111/transformers.js

X Description: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! - sharp0111/transformers.js

Opengraph URL: https://github.com/sharp0111/transformers.js

X: @github

direct link

Domain: github.com

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https://github.com/sharp0111/transformers.js#multimodal
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(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://github.com/sharp0111/transformers.js#reinforcement-learning
Reinforcement Learninghttps://huggingface.co/tasks/reinforcement-learning
https://github.com/sharp0111/transformers.js#models
AFMoEhttps://huggingface.co/docs/transformers/model_doc/afmoe
Arcee Trinity Large Technical Reporthttps://huggingface.co/papers/2602.17004
ALBERThttps://huggingface.co/docs/transformers/model_doc/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representationshttps://huggingface.co/papers/1909.11942
Arceehttps://huggingface.co/docs/transformers/model_doc/arcee
Announcing Arcee Foundation Modelshttps://www.arcee.ai/blog/announcing-the-arcee-foundation-model-family
Audio Spectrogram Transformerhttps://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformer
AST: Audio Spectrogram Transformerhttps://huggingface.co/papers/2104.01778
BARThttps://huggingface.co/docs/transformers/model_doc/bart
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensionhttps://huggingface.co/papers/1910.13461
BEiThttps://huggingface.co/docs/transformers/model_doc/beit
BEiT: BERT Pre-Training of Image Transformershttps://huggingface.co/papers/2106.08254
BERThttps://huggingface.co/docs/transformers/model_doc/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://huggingface.co/papers/1810.04805
Blenderbothttps://huggingface.co/docs/transformers/model_doc/blenderbot
Recipes for building an open-domain chatbothttps://huggingface.co/papers/2004.13637
BlenderbotSmallhttps://huggingface.co/docs/transformers/model_doc/blenderbot-small
Recipes for building an open-domain chatbothttps://huggingface.co/papers/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://huggingface.co/papers/1911.03894
CHMv2https://huggingface.co/docs/transformers/main/model_doc/chmv2
CHMv2: Improvements in Global Canopy Height Mapping using DINOv3https://huggingface.co/papers/2603.06382
Chatterbox TTShttps://github.com/resemble-ai/chatterbox
Chinese-CLIPhttps://huggingface.co/docs/transformers/model_doc/chinese_clip
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinesehttps://huggingface.co/papers/2211.01335
CLAPhttps://huggingface.co/docs/transformers/model_doc/clap
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentationhttps://huggingface.co/papers/2211.06687
CLIPhttps://huggingface.co/docs/transformers/model_doc/clip
Learning Transferable Visual Models From Natural Language Supervisionhttps://huggingface.co/papers/2103.00020
CLIPSeghttps://huggingface.co/docs/transformers/model_doc/clipseg
Image Segmentation Using Text and Image Promptshttps://huggingface.co/papers/2112.10003
CodeGenhttps://huggingface.co/docs/transformers/model_doc/codegen
A Conversational Paradigm for Program Synthesishttps://huggingface.co/papers/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://cohere.com/blog/command-r
Cohere2https://huggingface.co/docs/transformers/main/model_doc/cohere2
Introducing Command R7B: Fast and efficient generative AIhttps://cohere.com/blog/command-r7b
Cohere ASRhttps://huggingface.co/docs/transformers/main/model_doc/cohere_asr
Introducing Cohere Transcribe: a new state-of-the-art in open-source speech recognitionhttps://cohere.com/blog/transcribe
ConvBERThttps://huggingface.co/docs/transformers/model_doc/convbert
ConvBERT: Improving BERT with Span-based Dynamic Convolutionhttps://huggingface.co/papers/2008.02496
ConvNeXThttps://huggingface.co/docs/transformers/model_doc/convnext
A ConvNet for the 2020shttps://huggingface.co/papers/2201.03545
ConvNeXTV2https://huggingface.co/docs/transformers/model_doc/convnextv2
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencodershttps://huggingface.co/papers/2301.00808
D-FINEhttps://huggingface.co/docs/transformers/model_doc/d_fine
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinementhttps://huggingface.co/papers/2410.13842
DAChttps://huggingface.co/docs/transformers/model_doc/dac
Descript Audio Codec: High-Fidelity Audio Compression with Improved RVQGANhttps://huggingface.co/papers/2306.06546
DeBERTahttps://huggingface.co/docs/transformers/model_doc/deberta
DeBERTa: Decoding-enhanced BERT with Disentangled Attentionhttps://huggingface.co/papers/2006.03654
DeBERTa-v2https://huggingface.co/docs/transformers/model_doc/deberta-v2
DeBERTa: Decoding-enhanced BERT with Disentangled Attentionhttps://huggingface.co/papers/2006.03654
Decision Transformerhttps://huggingface.co/docs/transformers/model_doc/decision_transformer
Decision Transformer: Reinforcement Learning via Sequence Modelinghttps://huggingface.co/papers/2106.01345
DeepSeek-V3https://huggingface.co/docs/transformers/model_doc/deepseek_v3
DeepSeek-V3 Technical Reporthttps://huggingface.co/papers/2412.19437
DeepSeek-V4https://huggingface.co/docs/transformers/model_doc/deepseek_v4
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligencehttps://huggingface.co/deepseek-ai/DeepSeek-V4-Pro/blob/main/DeepSeek_V4.pdf
DeiThttps://huggingface.co/docs/transformers/model_doc/deit
Training data-efficient image transformers & distillation through attentionhttps://huggingface.co/papers/2012.12877
Depth Anythinghttps://huggingface.co/docs/transformers/main/model_doc/depth_anything
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datahttps://huggingface.co/papers/2401.10891
Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondhttps://huggingface.co/papers/2410.02073
DETRhttps://huggingface.co/docs/transformers/model_doc/detr
End-to-End Object Detection with Transformershttps://huggingface.co/papers/2005.12872
DINOv2https://huggingface.co/docs/transformers/model_doc/dinov2
DINOv2: Learning Robust Visual Features without Supervisionhttps://huggingface.co/papers/2304.07193
DINOv2 with Registershttps://huggingface.co/docs/transformers/model_doc/dinov2_with_registers
DINOv2 with Registershttps://huggingface.co/papers/2309.16588
DINOv3https://huggingface.co/docs/transformers/model_doc/dinov3
DINOv3https://huggingface.co/papers/2508.10104
DistilBERThttps://huggingface.co/docs/transformers/model_doc/distilbert
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterhttps://huggingface.co/papers/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://huggingface.co/papers/2203.02378
Donuthttps://huggingface.co/docs/transformers/model_doc/donut
OCR-free Document Understanding Transformerhttps://huggingface.co/papers/2111.15664
DPThttps://huggingface.co/docs/transformers/master/model_doc/dpt
Vision Transformers for Dense Predictionhttps://huggingface.co/papers/2103.13413
EdgeTAMhttps://huggingface.co/docs/transformers/model_doc/edgetam
EdgeTAM: On-Device Track Anything Modelhttps://huggingface.co/papers/2501.07256
EfficientNethttps://huggingface.co/docs/transformers/model_doc/efficientnet
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkshttps://huggingface.co/papers/1905.11946
ELECTRAhttps://huggingface.co/docs/transformers/model_doc/electra
ELECTRA: Pre-training text encoders as discriminators rather than generatorshttps://huggingface.co/papers/2003.10555
Announcing the Open Source Release of the ERNIE 4.5 Model Familyhttps://ernie.baidu.com/blog/posts/ernie4.5/
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
EuroBERThttps://huggingface.co/docs/transformers/model_doc/eurobert
EuroBERT: Scaling Multilingual Encoders for European Languageshttps://huggingface.co/papers/2503.05500
EXAONE 3.0 7.8B Instruction Tuned Language Modelhttps://huggingface.co/papers/2408.03541
EXAONE 3.5: Series of Large Language Models for Real-world Use Caseshttps://huggingface.co/papers/2412.04862
Falconhttps://huggingface.co/docs/transformers/model_doc/falcon
FalconH1https://huggingface.co/docs/transformers/model_doc/falcon_h1
Falcon-H1-Tiny: A series of extremely small, yet powerful language models redefining capabilities at small scalehttps://huggingface.co/spaces/tiiuae/tiny-h1-blogpost
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterizationhttps://huggingface.co/papers/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://huggingface.co/papers/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/
Gemma3https://huggingface.co/docs/transformers/main/model_doc/gemma3
Introducing Gemma 3: The most capable model you can run on a single GPU or TPUhttps://blog.google/technology/developers/gemma-3/
Gemma3nhttps://huggingface.co/docs/transformers/main/model_doc/gemma3n
Announcing Gemma 3n preview: powerful, efficient, mobile-first AIhttps://developers.googleblog.com/en/introducing-gemma-3n/
Gemma4https://huggingface.co/docs/transformers/main/model_doc/gemma4
Gemma 4https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
GLMhttps://huggingface.co/docs/transformers/main/model_doc/glm
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Toolshttps://huggingface.co/papers/2406.12793v2
GLM-MoE-DSAhttps://huggingface.co/docs/transformers/main/model_doc/glm_moe_dsa
GLM-5: from Vibe Coding to Agentic Engineeringhttps://huggingface.co/papers/2602.15763
GLM-OCRhttps://huggingface.co/docs/transformers/main/model_doc/glm_ocr
GLM-OCR Technical Reporthttps://huggingface.co/papers/2603.10910
GLPNhttps://huggingface.co/docs/transformers/model_doc/glpn
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepthhttps://huggingface.co/papers/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://huggingface.co/papers/2204.06745
GPT OSShttps://huggingface.co/docs/transformers/model_doc/gpt_oss
Introducing gpt-osshttps://openai.com/index/introducing-gpt-oss/
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://huggingface.co/papers/2301.03988
Granitehttps://huggingface.co/docs/transformers/main/model_doc/granite
Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Schedulerhttps://huggingface.co/papers/2408.13359
GraniteMoeHybridhttps://huggingface.co/docs/transformers/main/model_doc/granitemoehybrid
IBM Granite 4.0: hyper-efficient, high performance hybrid models for enterprisehttps://www.ibm.com/new/announcements/ibm-granite-4-0-hyper-efficient-high-performance-hybrid-models
Granite Speechhttps://huggingface.co/docs/transformers/main/model_doc/granite_speech
Granite-speech: open-source speech-aware LLMs with strong English ASR capabilitieshttps://huggingface.co/papers/2505.08699
Grounding DINOhttps://huggingface.co/docs/transformers/model_doc/grounding-dino
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectionhttps://huggingface.co/papers/2303.05499
GroupViThttps://huggingface.co/docs/transformers/model_doc/groupvit
GroupViT: Semantic Segmentation Emerges from Text Supervisionhttps://huggingface.co/papers/2202.11094
Heliumhttps://huggingface.co/docs/transformers/main/model_doc/helium
Announcing Helium-1 Previewhttps://kyutai.org/2025/01/13/helium.html
HerBERThttps://huggingface.co/docs/transformers/model_doc/herbert
KLEJ: Comprehensive Benchmark for Polish Language Understandinghttps://www.aclweb.org/anthology/2020.acl-main.111.pdf
HRM-Texthttps://huggingface.co/docs/transformers/model_doc/hrm_text
Hierarchical Reasoning Modelhttps://huggingface.co/papers/2506.21734
Hierahttps://huggingface.co/docs/transformers/model_doc/hiera
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistleshttps://huggingface.co/papers/2306.00989
Huberthttps://huggingface.co/docs/transformers/model_doc/hubert
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitshttps://huggingface.co/papers/2106.07447
HunYuanDenseV1https://huggingface.co/docs/transformers/model_doc/hunyuan_v1_dense
Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencenthttps://huggingface.co/papers/2411.02265
I-JEPAhttps://huggingface.co/docs/transformers/model_doc/ijepa
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecturehttps://huggingface.co/papers/2301.08243
Idefics3https://huggingface.co/docs/transformers/model_doc/idefics3
Building and better understanding vision-language models: insights and future directionshttps://huggingface.co/papers/2408.12637
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Modelshttps://huggingface.co/papers/2308.16149
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generationhttps://huggingface.co/papers/2410.13848
Jina CLIP: Your CLIP Model Is Also Your Text Retrieverhttps://huggingface.co/papers/2405.20204
LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximationhttps://huggingface.co/papers/2502.20583
LongT5https://huggingface.co/docs/transformers/model_doc/longt5
LongT5: Efficient Text-To-Text Transformer for Long Sequenceshttps://huggingface.co/papers/2112.07916
LFM2https://huggingface.co/docs/transformers/model_doc/lfm2
Introducing LFM2: The Fastest On-Device Foundation Models on the Markethttps://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models
Lfm2Moehttps://huggingface.co/docs/transformers/model_doc/lfm2_moe
LFM2-8B-A1B: An Efficient On-device Mixture-of-Expertshttps://www.liquid.ai/blog/lfm2-8b-a1b-an-efficient-on-device-mixture-of-experts
LFM2-VLhttps://huggingface.co/docs/transformers/model_doc/lfm2_vl
LFM2-VL: Efficient Vision-Language Modelshttps://www.liquid.ai/blog/lfm2-vl-efficient-vision-language-models
LightOnOcrhttps://huggingface.co/docs/transformers/model_doc/lighton_ocr
LightOnOCR-1B: The Case for End-to-End and Efficient Domain-Specific Vision-Language Models for OCRhttps://huggingface.co/blog/lightonai/lightonocr
LLaMAhttps://huggingface.co/docs/transformers/model_doc/llama
LLaMA: Open and Efficient Foundation Language Modelshttps://huggingface.co/papers/2302.13971
Llama2https://huggingface.co/docs/transformers/model_doc/llama2
Llama2: Open Foundation and Fine-Tuned Chat Modelshttps://huggingface.co/papers/2307.09288
Llama3https://huggingface.co/docs/transformers/model_doc/llama3
The Llama 3 Herd of Modelshttps://huggingface.co/papers/2407.21783
Llama4https://huggingface.co/docs/transformers/model_doc/llama4
The Llama 4 herd: The beginning of a new era of natively multimodal AI innovationhttps://ai.meta.com/blog/llama-4-multimodal-intelligence/
LLaVahttps://huggingface.co/docs/transformers/model_doc/llava
Visual Instruction Tuninghttps://huggingface.co/papers/2304.08485
LLaVA-OneVisionhttps://huggingface.co/docs/transformers/model_doc/llava_onevision
LLaVA-OneVision: Easy Visual Task Transferhttps://huggingface.co/papers/2408.03326
M2M100https://huggingface.co/docs/transformers/model_doc/m2m_100
Beyond English-Centric Multilingual Machine Translationhttps://huggingface.co/papers/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://huggingface.co/papers/2107.06278
mBARThttps://huggingface.co/docs/transformers/model_doc/mbart
Multilingual Denoising Pre-training for Neural Machine Translationhttps://huggingface.co/papers/2001.08210
mBART-50https://huggingface.co/docs/transformers/model_doc/mbart
Multilingual Translation with Extensible Multilingual Pretraining and Finetuninghttps://huggingface.co/papers/2008.00401
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Imagehttps://huggingface.co/papers/2307.10984
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimationhttps://huggingface.co/papers/2404.15506
MusicGenhttps://huggingface.co/docs/transformers/model_doc/musicgen
Simple and Controllable Music Generationhttps://huggingface.co/papers/2306.05284
MGP-STRhttps://huggingface.co/docs/transformers/model_doc/mgp-str
Multi-Granularity Prediction for Scene Text Recognitionhttps://huggingface.co/papers/2209.03592
Mimihttps://huggingface.co/docs/transformers/model_doc/mimi
Moshi: a speech-text foundation model for real-time dialoguehttps://huggingface.co/papers/2410.00037
Ministralhttps://huggingface.co/docs/transformers/model_doc/ministral
Mistral AIhttps://mistral.ai
Ministral3https://huggingface.co/docs/transformers/model_doc/ministral3
Mistral AIhttps://mistral.ai
Mistralhttps://huggingface.co/docs/transformers/model_doc/mistral
Mistral AIhttps://mistral.ai
Mistral3https://huggingface.co/docs/transformers/model_doc/mistral3
Mistral AIhttps://mistral.ai
Mistral4https://huggingface.co/docs/transformers/model_doc/mistral4
Mistral AIhttps://mistral.ai
MMShttps://huggingface.co/docs/transformers/model_doc/mms
Scaling Speech Technology to 1,000+ Languageshttps://huggingface.co/papers/2305.13516
MobileBERThttps://huggingface.co/docs/transformers/model_doc/mobilebert
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Deviceshttps://huggingface.co/papers/2004.02984
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Traininghttps://huggingface.co/papers/2311.17049
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Caseshttps://huggingface.co/papers/2402.14905
MobileNetV1https://huggingface.co/docs/transformers/model_doc/mobilenet_v1
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationshttps://huggingface.co/papers/1704.04861
MobileNetV2https://huggingface.co/docs/transformers/model_doc/mobilenet_v2
MobileNetV2: Inverted Residuals and Linear Bottleneckshttps://huggingface.co/papers/1801.04381
Searching for MobileNetV3https://huggingface.co/papers/1905.02244
MobileNetV4 - Universal Models for the Mobile Ecosystemhttps://huggingface.co/papers/2404.10518
MobileViThttps://huggingface.co/docs/transformers/model_doc/mobilevit
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformerhttps://huggingface.co/papers/2110.02178
MobileViTV2https://huggingface.co/docs/transformers/model_doc/mobilevitv2
Separable Self-attention for Mobile Vision Transformershttps://huggingface.co/papers/2206.02680
ModernBERThttps://huggingface.co/docs/transformers/model_doc/modernbert
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inferencehttps://huggingface.co/papers/2412.13663
ModernBERT Decoderhttps://huggingface.co/docs/transformers/model_doc/modernbert-decoder
Seq vs Seq: An Open Suite of Paired Encoders and Decodershttps://huggingface.co/papers/2507.11412
moondreamhttps://github.com/vikhyat/moondream
Moonshinehttps://huggingface.co/docs/transformers/model_doc/moonshine
Moonshine: Speech Recognition for Live Transcription and Voice Commandshttps://huggingface.co/papers/2410.15608
MPNethttps://huggingface.co/docs/transformers/model_doc/mpnet
MPNet: Masked and Permuted Pre-training for Language Understandinghttps://huggingface.co/papers/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://huggingface.co/papers/2010.11934
NanoChathttps://huggingface.co/docs/transformers/model_doc/nanochat
nanochat: The best ChatGPT that $100 can buyhttps://github.com/karpathy/nanochat
Nemotronhttps://huggingface.co/docs/transformers/model_doc/nemotron
NVIDIA AI Foundation Models: Build Custom Enterprise Chatbots and Co-Pilots with Production-Ready LLMshttps://developer.nvidia.com/blog/nvidia-ai-foundation-models-build-custom-enterprise-chatbots-and-co-pilots-with-production-ready-llms/
Nemotron-Hhttps://huggingface.co/docs/transformers/model_doc/nemotron_h
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Modelshttps://huggingface.co/papers/2504.03624
NVIDIA Nemotron 3: Efficient and Open Intelligencehttps://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-White-Paper.pdf
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoninghttps://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-Nano-Technical-Report.pdf
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoninghttps://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-Super-Technical-Report.pdf
NeoBERT: A Next-Generation BERThttps://huggingface.co/papers/2502.19587
NLLBhttps://huggingface.co/docs/transformers/model_doc/nllb
No Language Left Behind: Scaling Human-Centered Machine Translationhttps://huggingface.co/papers/2207.04672
Nougathttps://huggingface.co/docs/transformers/model_doc/nougat
Nougat: Neural Optical Understanding for Academic Documentshttps://huggingface.co/papers/2308.13418
OLMohttps://huggingface.co/docs/transformers/master/model_doc/olmo
OLMo: Accelerating the Science of Language Modelshttps://huggingface.co/papers/2402.00838
OLMo2https://huggingface.co/docs/transformers/master/model_doc/olmo2
OLMo 2: The best fully open language model to datehttps://allenai.org/blog/olmo2
OLMo3https://huggingface.co/docs/transformers/master/model_doc/olmo3
Olmo 3: Charting a path through the model flow to lead open-source AIhttps://allenai.org/blog/olmo3
Olmo Hybridhttps://huggingface.co/docs/transformers/master/model_doc/olmo_hybrid
Introducing Olmo Hybrid: Combining transformers and linear RNNs for superior scalinghttps://allenai.org/blog/olmohybrid
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Frameworkhttps://huggingface.co/papers/2404.14619
OPThttps://huggingface.co/docs/transformers/master/model_doc/opt
OPT: Open Pre-trained Transformer Language Modelshttps://huggingface.co/papers/2205.01068
OWL-ViThttps://huggingface.co/docs/transformers/model_doc/owlvit
Simple Open-Vocabulary Object Detection with Vision Transformershttps://huggingface.co/papers/2205.06230
OWLv2https://huggingface.co/docs/transformers/model_doc/owlv2
Scaling Open-Vocabulary Object Detectionhttps://huggingface.co/papers/2306.09683
PaliGemmahttps://huggingface.co/docs/transformers/main/model_doc/paligemma
PaliGemma: A versatile 3B VLM for transferhttps://huggingface.co/papers/2407.07726
PaliGemma 2: A Family of Versatile VLMs for Transferhttps://huggingface.co/papers/2412.03555
Parakeethttps://huggingface.co/docs/transformers/main/model_doc/parakeet
Introducing the Parakeet ASR familyhttps://developer.nvidia.com/blog/pushing-the-boundaries-of-speech-recognition-with-nemo-parakeet-asr-models/
PatchTSMixerhttps://huggingface.co/docs/transformers/main/model_doc/patchtsmixer
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecastinghttps://huggingface.co/papers/2306.09364
PatchTSThttps://huggingface.co/docs/transformers/main/model_doc/patchtst
A Time Series is Worth 64 Words: Long-term Forecasting with Transformershttps://huggingface.co/papers/2211.14730
Phihttps://huggingface.co/docs/transformers/main/model_doc/phi
Textbooks Are All You Needhttps://huggingface.co/papers/2306.11644
Textbooks Are All You Need II: phi-1.5 technical reporthttps://huggingface.co/papers/2309.05463
Phi3https://huggingface.co/docs/transformers/main/model_doc/phi3
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonehttps://huggingface.co/papers/2404.14219v2
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonehttps://huggingface.co/papers/2404.14219v4
PVThttps://huggingface.co/docs/transformers/main/model_doc/pvt
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionshttps://huggingface.co/papers/2102.12122
pyannote/pyannote-audiohttps://github.com/pyannote/pyannote-audio
Qwen2https://huggingface.co/docs/transformers/model_doc/qwen2
Qwen Technical Reporthttps://huggingface.co/papers/2309.16609
Qwen2 Technical Reporthttps://huggingface.co/papers/2407.10671
Qwen2 MoEhttps://huggingface.co/docs/transformers/model_doc/qwen2_moe
Qwen2 Technical Reporthttps://huggingface.co/papers/2407.10671
Qwen2-VLhttps://huggingface.co/docs/transformers/model_doc/qwen2_vl
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyondhttps://huggingface.co/papers/2308.12966
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolutionhttps://huggingface.co/papers/2409.12191
Qwen2.5-VLhttps://huggingface.co/docs/transformers/model_doc/qwen2_5_vl
Qwen2.5-VL Technical Reporthttps://huggingface.co/papers/2502.13923
Qwen3https://huggingface.co/docs/transformers/en/model_doc/qwen3
Qwen3: Think Deeper, Act Fasterhttps://qwen.ai/blog?id=qwen3
Qwen3 MoEhttps://huggingface.co/docs/transformers/en/model_doc/qwen3_moe
Qwen3: Think Deeper, Act Fasterhttps://qwen.ai/blog?id=qwen3
Qwen3 Nexthttps://huggingface.co/docs/transformers/en/model_doc/qwen3_next
Qwen3-Next: Towards Ultimate Training & Inference Efficiencyhttps://qwen.ai/blog?id=qwen3-next
Qwen3-VLhttps://huggingface.co/docs/transformers/en/model_doc/qwen3_vl
Qwen3-VL Technical Reporthttps://huggingface.co/papers/2511.21631
Qwen3-VL MoEhttps://huggingface.co/docs/transformers/en/model_doc/qwen3_vl_moe
Qwen3-VL Technical Reporthttps://huggingface.co/papers/2511.21631
Qwen3.5https://huggingface.co/docs/transformers/en/model_doc/qwen3_5
Qwen3.5: Towards Native Multimodal Agentshttps://qwen.ai/blog?id=qwen3.5
Qwen3.5 Moehttps://huggingface.co/docs/transformers/en/model_doc/qwen3_5_moe
Qwen3.5: Towards Native Multimodal Agentshttps://qwen.ai/blog?id=qwen3.5
ResNethttps://huggingface.co/docs/transformers/model_doc/resnet
Deep Residual Learning for Image Recognitionhttps://huggingface.co/papers/1512.03385
RF-DETRhttps://huggingface.co/docs/transformers/model_doc/rf_detr
RF-DETR: A SOTA Real-Time Object Detection Modelhttps://blog.roboflow.com/rf-detr/
RoBERTahttps://huggingface.co/docs/transformers/model_doc/roberta
RoBERTa: A Robustly Optimized BERT Pretraining Approachhttps://huggingface.co/papers/1907.11692
RoFormerhttps://huggingface.co/docs/transformers/model_doc/roformer
RoFormer: Enhanced Transformer with Rotary Position Embeddinghttps://huggingface.co/papers/2104.09864
RT-DETRhttps://huggingface.co/docs/transformers/model_doc/rt_detr
DETRs Beat YOLOs on Real-time Object Detectionhttps://huggingface.co/papers/2304.08069
RT-DETRv2https://huggingface.co/docs/transformers/model_doc/rt_detr_v2
RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformerhttps://huggingface.co/papers/2407.17140
Sapiens: Foundation for Human Vision Modelshttps://huggingface.co/papers/2408.12569
SegFormerhttps://huggingface.co/docs/transformers/model_doc/segformer
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformershttps://huggingface.co/papers/2105.15203
Segment Anythinghttps://huggingface.co/docs/transformers/model_doc/sam
Segment Anythinghttps://huggingface.co/papers/2304.02643v1.pdf
Segment Anything 2https://huggingface.co/docs/transformers/model_doc/sam2
SAM 2: Segment Anything in Images and Videoshttps://huggingface.co/papers/2408.00714
Segment Anything 3https://huggingface.co/docs/transformers/model_doc/sam3
SAM 3: Segment Anything with Conceptshttps://ai.meta.com/research/publications/sam-3-segment-anything-with-concepts/
SigLIPhttps://huggingface.co/docs/transformers/main/model_doc/siglip
Sigmoid Loss for Language Image Pre-Traininghttps://huggingface.co/papers/2303.15343
SmolLM3https://huggingface.co/docs/transformers/main/model_doc/smollm3
SmolLM3: smol, multilingual, long-context reasonerhttps://huggingface.co/blog/smollm3
SmolVLMhttps://huggingface.co/docs/transformers/main/model_doc/smolvlm
SmolVLM - small yet mighty Vision Language Modelhttps://huggingface.co/blog/smolvlm
SmolVLM Grows Smaller – Introducing the 250M & 500M Models!https://huggingface.co/blog/smolervlm
SolarOpenhttps://huggingface.co/docs/transformers/main/model_doc/solar_open
Solar Open Technical Reporthttps://huggingface.co/papers/2601.07022
SNAC: Multi-Scale Neural Audio Codechttps://huggingface.co/papers/2410.14411
SpeechT5https://huggingface.co/docs/transformers/model_doc/speecht5
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processinghttps://huggingface.co/papers/2110.07205
SqueezeBERThttps://huggingface.co/docs/transformers/model_doc/squeezebert
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?https://huggingface.co/papers/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://huggingface.co/papers/2402.19173
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Modelshttps://huggingface.co/papers/2306.07691
SupertonicTTS: Towards Highly Efficient and Streamlined Text-to-Speech Systemhttps://huggingface.co/papers/2503.23108
Swin Transformerhttps://huggingface.co/docs/transformers/model_doc/swin
Swin Transformer: Hierarchical Vision Transformer using Shifted Windowshttps://huggingface.co/papers/2103.14030
Swin2SRhttps://huggingface.co/docs/transformers/model_doc/swin2sr
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restorationhttps://huggingface.co/papers/2209.11345
T5https://huggingface.co/docs/transformers/model_doc/t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformerhttps://huggingface.co/papers/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://huggingface.co/papers/2110.00061
TrOCRhttps://huggingface.co/docs/transformers/model_doc/trocr
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Modelshttps://huggingface.co/papers/2109.10282
fixie-ai/ultravoxhttps://github.com/fixie-ai/ultravox
UniSpeechhttps://huggingface.co/docs/transformers/model_doc/unispeech
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Datahttps://huggingface.co/papers/2101.07597
UniSpeechSathttps://huggingface.co/docs/transformers/model_doc/unispeech-sat
UNISPEECH-SAT: UNIVERSAL SPEECH REPRESENTATION LEARNING WITH SPEAKER AWARE PRE-TRAININGhttps://huggingface.co/papers/2110.05752
VaultGemmahttps://huggingface.co/docs/transformers/main/model_doc/vaultgemma
VaultGemma: A Differentially Private Gemma Modelhttps://services.google.com/fh/files/blogs/vaultgemma_tech_report.pdf
Vision Transformer (ViT)https://huggingface.co/docs/transformers/model_doc/vit
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalehttps://huggingface.co/papers/2010.11929
ViTMAEhttps://huggingface.co/docs/transformers/model_doc/vit_mae
Masked Autoencoders Are Scalable Vision Learnershttps://huggingface.co/papers/2111.06377
ViTMattehttps://huggingface.co/docs/transformers/model_doc/vitmatte
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformershttps://huggingface.co/papers/2305.15272
ViTMSNhttps://huggingface.co/docs/transformers/model_doc/vit_msn
Masked Siamese Networks for Label-Efficient Learninghttps://huggingface.co/papers/2204.07141
ViTPosehttps://huggingface.co/docs/transformers/model_doc/vitpose
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimationhttps://huggingface.co/papers/2204.12484
VITShttps://huggingface.co/docs/transformers/model_doc/vits
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechhttps://huggingface.co/papers/2106.06103
Voxtralhttps://huggingface.co/docs/transformers/model_doc/voxtral
Voxtralhttps://huggingface.co/papers/2507.13264
Voxtral Realtimehttps://huggingface.co/docs/transformers/model_doc/voxtral_realtime
Voxtral Realtimehttps://huggingface.co/papers/2602.11298
Wav2Vec2https://huggingface.co/docs/transformers/model_doc/wav2vec2
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationshttps://huggingface.co/papers/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://huggingface.co/papers/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://huggingface.co/papers/1901.07291
XLM-RoBERTahttps://huggingface.co/docs/transformers/model_doc/xlm-roberta
Unsupervised Cross-lingual Representation Learning at Scalehttps://huggingface.co/papers/1911.02116
YOLOShttps://huggingface.co/docs/transformers/model_doc/yolos
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detectionhttps://huggingface.co/papers/2106.00666
Youtu-LLMhttps://huggingface.co/docs/transformers/model_doc/youtu
Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Modelshttps://huggingface.co/papers/2512.24618
ZAYA1-8B Technical Reporthttps://huggingface.co/papers/2605.05365
huggingface.co/docs/transformers.jshttps://huggingface.co/docs/transformers.js
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