The model catalog: what actually runs in a browser

Frequently asked questions

Why can I not use any Hugging Face model?

transformers.js runs ONNX graphs, not PyTorch. A model needs an ONNX export (usually under an "onnx/" folder in the repo) before a browser can load it. That is why the catalogue is a curated list rather than all of Hugging Face.

Which quantization should I pick?

q8 is the sweet spot for most vision and encoder models; q4 halves the download again for chat models at a small quality cost; fp32 is the safest and largest. Avoid fp16 and q4f16 unless your GPU reports the WebGPU "shader-f16" feature — many desktop GPUs on Linux do not.

Every model, by task (126 in total)

Image Classification

• ViT NSFW Detector — AdamCodd/vit-base-nsfw-detector, 89 MB, 86M params
• ViT Base 224 — Xenova/vit-base-patch16-224, 88 MB, 86M params
• Facial Emotion ViT — Xenova/facial_emotions_image_detection, 88 MB, 86M params
• ResNet-50 — Xenova/resnet-50, 26 MB, 25.6M params
• MobileViT Small — Xenova/mobilevit-small, 23 MB, 5.6M params
• Swin Food-101 — onnx-community/swin-finetuned-food101-ONNX, 93 MB

Image Captioning

• ViT-GPT2 Captioner — Xenova/vit-gpt2-image-captioning, 248 MB, 239M params
• DistilViT — Mozilla/distilvit, 189 MB
• ViT-GPT2 Flower Captioner — cristianglezm/ViT-GPT2-FlowerCaptioner-ONNX, 247 MB, 239M params

Zero-Shot Image Labels

• SigLIP Base 224 — Xenova/siglip-base-patch16-224, 214 MB, 203M params
• CLIP ViT-B/32 — Xenova/clip-vit-base-patch32, 157 MB, 151M params
• CLIP ViT-B/16 — Xenova/clip-vit-base-patch16, 156 MB, 150M params
• CLIP ViT-L/14 — Xenova/clip-vit-large-patch14, 436 MB, 428M params
• TinyCLIP ViT-8M — onnx-community/TinyCLIP-ViT-8M-16-Text-3M-YFCC15M-ONNX, 28 MB, 11M params
• FashionCLIP — ff13/fashion-clip, 156 MB, 151M params

Chat

• SmolLM2 135M Instruct — HuggingFaceTB/SmolLM2-135M-Instruct, 186 MB, 135M params
• SmolLM2 360M Instruct — HuggingFaceTB/SmolLM2-360M-Instruct, 392 MB, 360M params
• SmolLM2 1.7B Instruct — HuggingFaceTB/SmolLM2-1.7B-Instruct, 1416 MB, 1.7B params
• Qwen3 0.6B — onnx-community/Qwen3-0.6B-ONNX, 928 MB, 0.6B params
• Qwen2.5 0.5B Instruct — onnx-community/Qwen2.5-0.5B-Instruct, 798 MB, 0.5B params
• Llama 3.2 1B Instruct — onnx-community/Llama-3.2-1B-Instruct-ONNX, 1704 MB, 1.2B params
• Gemma 3 270M Instruct — onnx-community/gemma-3-270m-it-ONNX, 348 MB, 270M params

Image Segmentation

• SegFormer B0 (ADE20K) — Xenova/segformer-b0-finetuned-ade-512-512, 15 MB, 3.8M params
• Face Parsing — jonathandinu/face-parsing, 89 MB
• SegFormer B2 (ADE20K) — Xenova/segformer-b2-finetuned-ade-512-512, 110 MB, 27M params
• DETR ResNet-50 Panoptic — Xenova/detr-resnet-50-panoptic, 172 MB, 43M params
• SegFormer B2 Clothes — Xenova/segformer_b2_clothes, 110 MB, 27M params
• SegFormer B0 Clothes — Xenova/segformer_b0_clothes, 15 MB, 3.8M params

Remove Background

• MODNet — Xenova/modnet, 26 MB, 6.5M params
• ORMBG — onnx-community/ormbg-ONNX, 176 MB
• BiRefNet Lite — onnx-community/BiRefNet_lite-ONNX, 224 MB
• BiRefNet 512 — onnx-community/BiRefNet_512x512-ONNX, 940 MB
• RMBG 1.4 — kittypdf/RMBG-1.4-transformersjs, 176 MB, 44M params

Embeddings

• mxbai-embed-large-v1 — mixedbread-ai/mxbai-embed-large-v1, 338 MB, 335M params
• all-MiniLM-L6-v2 — Xenova/all-MiniLM-L6-v2, 91 MB, 22.7M params
• BGE Base EN v1.5 — Xenova/bge-base-en-v1.5, 111 MB, 109M params
• BGE Small EN v1.5 — Xenova/bge-small-en-v1.5, 134 MB, 33M params
• Paraphrase Multilingual MiniLM — Xenova/paraphrase-multilingual-MiniLM-L12-v2, 135 MB, 118M params
• Multilingual E5 Small — Xenova/multilingual-e5-small, 135 MB, 118M params
• GTE Small — Xenova/gte-small, 134 MB, 33M params

Entity Recognition

• BERT Base NER — Xenova/bert-base-NER, 110 MB, 108M params
• mBERT NER (10 languages) — Xenova/bert-base-multilingual-cased-ner-hrl, 182 MB, 177M params
• DistilBERT NER (10 languages) — Xenova/distilbert-base-multilingual-cased-ner-hrl, 139 MB, 135M params
• Piiranha v1 (PII) — onnx-community/piiranha-v1-detect-personal-information-ONNX, 334 MB, 280M params
• BERT Small PII — onnx-community/bert-small-pii-detection-ONNX, 30 MB
• DistilBERT NER — onnx-community/distilbert-NER-ONNX, 67 MB, 65M params

Depth Estimation

• Depth Anything V2 Small — onnx-community/depth-anything-v2-small, 99 MB, 24.8M params
• Depth Anything V1 Small — Xenova/depth-anything-small-hf, 99 MB, 24.8M params
• MiDaS DPT Hybrid — Xenova/dpt-hybrid-midas, 533 MB, 123M params
• Depth Anything V2 Base — onnx-community/depth-anything-v2-base, 389 MB, 97.5M params
• GLPN NYU — Xenova/glpn-nyu, 246 MB, 62M params
• Metric3D ViT Small — onnx-community/metric3d-vit-small, 151 MB

Find Anything

• OWL-ViT Base 32 — Xenova/owlvit-base-patch32, 159 MB, 154M params
• Grounding DINO Tiny — onnx-community/grounding-dino-tiny-ONNX, 205 MB
• OWLv2 Base 16 Ensemble — Xenova/owlv2-base-patch16-ensemble, 159 MB
• OWL-ViT Base 16 — Xenova/owlvit-base-patch16, 159 MB, 154M params
• OWL-ViT Large 14 — Xenova/owlvit-large-patch14, 441 MB, 430M params

Text to Speech

• Kokoro 82M v1.0 — onnx-community/Kokoro-82M-v1.0-ONNX, 93 MB, 82M params
• Kokoro 82M v0.19 — onnx-community/Kokoro-82M-ONNX, 92 MB, 82M params
• SpeechT5 TTS — Xenova/speecht5_tts, 178 MB, 144M params
• MMS TTS English — Xenova/mms-tts-eng, 114 MB, 36M params
• Kokoro 82M v1.1 (Chinese) — onnx-community/Kokoro-82M-v1.1-zh-ONNX, 127 MB, 82M params
• MMS TTS Hindi — Xenova/mms-tts-hin, 114 MB, 36M params
• MMS TTS Spanish — Xenova/mms-tts-spa, 114 MB, 36M params

Question Answering

• DistilBERT SQuAD (cased) — Xenova/distilbert-base-cased-distilled-squad, 67 MB, 65M params
• DistilBERT SQuAD (uncased) — Xenova/distilbert-base-uncased-distilled-squad, 68 MB, 66M params
• ModernBERT SQuAD — onnx-community/ModernBERT-finetuned-squad-ONNX, 338 MB, 150M params
• MobileBERT SQuAD2 — onnx-community/mobilebert-uncased-squad-v2-ONNX, 28 MB, 25M params
• RoBERTa SQuAD2 — onnx-community/roberta-base-squad2-ONNX, 130 MB, 125M params
• TinyRoBERTa SQuAD2 — onnx-community/tinyroberta-squad2-ONNX, 87 MB

Speech to Text

• Whisper Tiny (English) — Xenova/whisper-tiny.en, 67 MB, 39M params
• Whisper Tiny (multilingual) — Xenova/whisper-tiny, 68 MB, 39M params
• Whisper Base (Xenova) — Xenova/whisper-base, 141 MB, 74M params
• Whisper Small — onnx-community/whisper-small, 514 MB, 244M params
• Whisper Base — onnx-community/whisper-base, 141 MB, 74M params
• Whisper Large v3 Turbo — onnx-community/whisper-large-v3-turbo, 983 MB, 809M params
• Moonshine Tiny — onnx-community/moonshine-tiny-ONNX, 55 MB, 27M params

Object Detection

• DETR ResNet-50 — Xenova/detr-resnet-50, 167 MB, 41M params
• YOLOS Tiny — Xenova/yolos-tiny, 26 MB, 6.5M params
• RF-DETR Nano — onnx-community/rfdetr_nano-ONNX, 108 MB
• YOLOS Small — Xenova/yolos-small, 123 MB, 30.7M params
• DETR ResNet-101 — Xenova/detr-resnet-101, 243 MB, 60M params
• Table Transformer — Xenova/table-transformer-detection, 116 MB, 28.8M params

Audio Classification

• AST AudioSet — Xenova/ast-finetuned-audioset-10-10-0.4593, 91 MB, 86M params
• Common Voice Gender Detection — prithivMLmods/Common-Voice-Gender-Detection-ONNX, 95 MB, 94M params
• wav2vec2 Speech Emotion — onnx-community/wav2vec2-base-Speech_Emotion_Recognition-ONNX, 95 MB, 94M params
• MMS Language ID (126) — Xenova/mms-lid-126, 974 MB, 965M params
• AST Speech Commands — Xenova/ast-finetuned-speech-commands-v2, 87 MB, 86M params
• wav2vec2 Keyword Spotting — Xenova/wav2vec2-base-superb-ks, 96 MB, 94M params

Fill-Mask

• BERT Base Uncased — Xenova/bert-base-uncased, 112 MB, 110M params
• DistilBERT Base Uncased — Xenova/distilbert-base-uncased, 69 MB, 67M params
• ALBERT Base v2 — Xenova/albert-base-v2, 43 MB, 12M params
• mBERT Cased — Xenova/bert-base-multilingual-cased, 184 MB, 178M params
• RoBERTa Base — Xenova/roberta-base, 130 MB, 125M params
• DistilRoBERTa Base — Xenova/distilroberta-base, 86 MB, 82M params

Summarization

• DistilBART CNN 6-6 — Xenova/distilbart-cnn-6-6, 287 MB, 230M params
• BART Large CNN — Xenova/bart-large-cnn, 466 MB, 406M params
• DistilBART CNN 12-6 — Xenova/distilbart-cnn-12-6, 364 MB, 306M params
• DistilBART XSum 6-6 — Xenova/distilbart-xsum-6-6, 287 MB, 230M params
• DistilBART XSum 12-6 — Xenova/distilbart-xsum-12-6, 364 MB, 306M params
• DistilBART CNN 12-3 — Xenova/distilbart-cnn-12-3, 312 MB, 255M params

Zero-Shot Text Labels

• BART Large MNLI — Xenova/bart-large-mnli, 415 MB, 407M params
• MobileBERT MNLI — Xenova/mobilebert-uncased-mnli, 28 MB, 25M params
• DeBERTa v3 XSmall NLI — Xenova/nli-deberta-v3-xsmall, 98 MB, 22M params
• DistilBERT MNLI — Xenova/distilbert-base-uncased-mnli, 69 MB, 67M params
• mDeBERTa v3 XNLI — Xenova/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7, 359 MB, 279M params
• DeBERTa v3 Small NLI — Xenova/nli-deberta-v3-small, 184 MB, 44M params

Sentiment

• Twitter RoBERTa Sentiment — Xenova/twitter-roberta-base-sentiment-latest, 129 MB, 125M params
• DistilBERT SST-2 — Xenova/distilbert-base-uncased-finetuned-sst-2-english, 69 MB, 67M params
• Toxic BERT (Detoxify) — Xenova/toxic-bert, 112 MB, 109M params
• mBERT Star Rating — Xenova/bert-base-multilingual-uncased-sentiment, 172 MB, 167M params
• FinBERT — Xenova/finbert, 112 MB, 109M params
• Multilingual Sentiment Student — Xenova/distilbert-base-multilingual-cased-sentiments-student, 140 MB, 135M params

Translation

• NLLB-200 Distilled 600M — Xenova/nllb-200-distilled-600M, 917 MB, 600M params
• Marian EN → ZH — Xenova/opus-mt-en-zh, 123 MB, 77M params
• Marian EN → ES — Xenova/opus-mt-en-es, 123 MB, 77M params
• Marian EN → FR — Xenova/opus-mt-en-fr, 116 MB, 75M params
• Marian EN → DE — Xenova/opus-mt-en-de, 115 MB, 74M params
• Marian Multi → EN — Xenova/opus-mt-mul-en, 121 MB, 77M params
• Marian EN → HI — Xenova/opus-mt-en-hi, 121 MB, 76M params

OCR

• TrOCR Small (printed) — Xenova/trocr-small-printed, 70 MB, 62M params
• TrOCR Small (handwritten) — Xenova/trocr-small-handwritten, 70 MB, 62M params
• TrOCR Base (handwritten) — Xenova/trocr-base-handwritten, 341 MB, 334M params
• TrOCR Base (printed) — Xenova/trocr-base-printed, 341 MB, 334M params
• Nougat Small — Xenova/nougat-small, 258 MB, 250M params
• Texify — Xenova/texify, 321 MB