@huggingface/transformers

Version:

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

216 folders, 10 files

Filename	Content Type	Size
../
afmoe/	–	236 B
albert/	–	1.58 kB
apertus/	–	246 B
arcee/	–	236 B
audio_spectrogram_transformer/	–	3.64 kB
auto/	–	25.1 kB
bart/	–	1.17 kB
beit/	–	602 B
bert/	–	2.6 kB
bit/	–	124 B
blenderbot/	–	602 B
blenderbot_small/	–	642 B
bloom/	–	740 B
camembert/	–	2.84 kB
chatterbox/	–	9.24 kB
chinese_clip/	–	327 B
chmv2/	–	313 B
clap/	–	10.3 kB
clip/	–	6 kB
clipseg/	–	1.91 kB
code_llama/	–	131 B
codegen/	–	641 B
cohere/	–	466 B
cohere2/	–	246 B
cohere_asr/	–	6.84 kB
convbert/	–	2.96 kB
convnext/	–	2.27 kB
convnextv2/	–	738 B
d_fine/	–	490 B
dac/	–	3.08 kB
deberta/	–	2.94 kB
deberta_v2/	–	2.98 kB
decision_transformer/	–	427 B
deepseek_v3/	–	261 B
deit/	–	664 B
depth_anything/	–	342 B
depth_pro/	–	196 B
detr/	–	4.07 kB
dinov2/	–	760 B
dinov2_with_registers/	–	851 B
dinov3_convnext/	–	201 B
dinov3_vit/	–	316 B
distilbert/	–	2.62 kB
donut/	–	1.18 kB
donut_swin/	–	3.21 kB
dpt/	–	1.97 kB
efficientnet/	–	1.12 kB
electra/	–	3.05 kB
encodec/	–	1.23 kB
ernie4_5/	–	253 B
esm/	–	2.14 kB
eurobert/	–	1.59 kB
exaone/	–	241 B
falcon/	–	467 B
falcon_h1/	–	251 B
fastvit/	–	490 B
florence2/	–	8.78 kB
gemma/	–	555 B
gemma2/	–	435 B
gemma3/	–	2.4 kB
gemma3n/	–	11.1 kB
gemma4/	–	15.2 kB
glm/	–	226 B
glm46v/	–	790 B
glm_moe_dsa/	–	256 B
glm_ocr/	–	3.29 kB
glpn/	–	1.69 kB
gpt2/	–	562 B
gpt_bigcode/	–	262 B
gpt_neo/	–	242 B
gpt_neox/	–	376 B
gpt_oss/	–	241 B
gptj/	–	232 B
granite/	–	246 B
granite_speech/	–	5.16 kB
granitemoehybrid/	–	291 B
grounding_dino/	–	5.2 kB
groupvit/	–	183 B
helium/	–	241 B
herbert/	–	164 B
hiera/	–	480 B
hubert/	–	2.55 kB
hunyuan_v1_dense/	–	281 B
idefics3/	–	14.3 kB
ijepa/	–	480 B
jais/	–	472 B
janus/	–	5.8 kB
jina_clip/	–	4.46 kB
lfm2/	–	231 B
lfm2_moe/	–	246 B
lfm2_vl/	–	15.3 kB
lighton_ocr/	–	166 B
llama/	–	583 B
llama4/	–	183 B
llava/	–	2.7 kB
llava_onevision/	–	253 B
longt5/	–	559 B
m2m_100/	–	1.85 kB
marian/	–	2.75 kB
mask2former/	–	207 B
maskformer/	–	920 B
mbart/	–	2.18 kB
mbart50/	–	154 B
metric3d/	–	196 B
metric3dv2/	–	202 B
mgp_str/	–	7.66 kB
mimi/	–	2.94 kB
ministral/	–	256 B
ministral3/	–	261 B
mistral/	–	345 B
mistral3/	–	164 B
mistral4/	–	251 B
mobilebert/	–	1.96 kB
mobilellm/	–	256 B
mobilenet_v1/	–	1.05 kB
mobilenet_v2/	–	1.05 kB
mobilenet_v3/	–	1.05 kB
mobilenet_v4/	–	1.05 kB
mobilevit/	–	746 B
mobilevitv2/	–	554 B
modernbert/	–	1.61 kB
modernbert_decoder/	–	296 B
moonshine/	–	2.15 kB
mpnet/	–	2.7 kB
mpt/	–	465 B
mt5/	–	345 B
multi_modality/	–	5.42 kB
musicgen/	–	5.39 kB
nanochat/	–	251 B
nemotron_h/	–	256 B
neobert/	–	2.08 kB
nllb/	–	1.78 kB
nomic_bert/	–	186 B
nougat/	–	305 B
olmo/	–	231 B
olmo2/	–	236 B
olmo3/	–	236 B
olmo_hybrid/	–	261 B
openai_privacy_filter/	–	752 B
openelm/	–	247 B
opt/	–	453 B
owlv2/	–	424 B
owlvit/	–	975 B
paligemma/	–	3.02 kB
parakeet/	–	5.51 kB
patchtsmixer/	–	420 B
patchtst/	–	392 B
phi/	–	321 B
phi3/	–	327 B
phi3_v/	–	10.4 kB
pixtral/	–	3.18 kB
pvt/	–	594 B
pyannote/	–	8.45 kB
qwen2/	–	555 B
qwen2_5_vl/	–	485 B
qwen2_moe/	–	251 B
qwen2_vl/	–	19.8 kB
qwen3/	–	428 B
qwen3_5/	–	248 B
qwen3_5_moe/	–	259 B
qwen3_moe/	–	251 B
qwen3_next/	–	256 B
qwen3_vl/	–	411 B
qwen3_vl_moe/	–	261 B
resnet/	–	842 B
rf_detr/	–	576 B
roberta/	–	2.43 kB
roformer/	–	3.02 kB
rt_detr/	–	1.49 kB
rt_detr_v2/	–	590 B
sam/	–	17.4 kB
sam2/	–	4.65 kB
sam3/	–	93 B
sapiens/	–	757 B
seamless_m4t/	–	6.59 kB
segformer/	–	1.14 kB
siglip/	–	4.82 kB
smollm3/	–	246 B
smolvlm/	–	515 B
snac/	–	2.31 kB
solar_open/	–	256 B
speecht5/	–	7.96 kB
squeezebert/	–	1.63 kB
stablelm/	–	470 B
starcoder2/	–	363 B
style_text_to_speech_2/	–	213 B
supertonic/	–	3.46 kB
swin/	–	547 B
swin2sr/	–	2.84 kB
t5/	–	637 B
table_transformer/	–	973 B
trocr/	–	241 B
ultravox/	–	2.87 kB
unispeech/	–	1.58 kB
unispeech_sat/	–	2.18 kB
vaultgemma/	–	261 B
vision_encoder_decoder/	–	478 B
vit/	–	656 B
vit_mae/	–	177 B
vit_msn/	–	485 B
vitmatte/	–	4.13 kB
vitpose/	–	3.67 kB
vits/	–	2.63 kB
voxtral/	–	3.56 kB
voxtral_realtime/	–	16.9 kB
wav2vec2/	–	5.27 kB
wav2vec2_bert/	–	1.6 kB
wav2vec2_with_lm/	–	679 B
wavlm/	–	6.57 kB
wespeaker/	–	3.54 kB
wespeaker_resnet/	–	204 B
whisper/	–	63.1 kB
xlm/	–	2.94 kB
xlm_roberta/	–	2.49 kB
yolos/	–	1.54 kB
youtu/	–	236 B
feature_extractors.js	text/javascript	1.24 kB
image_processors.js	text/javascript	2.89 kB
modeling_outputs.js	text/javascript	5.8 kB
modeling_utils.js	text/javascript	69.3 kB
models.js	text/javascript	9.74 kB
processors.js	text/javascript	1.8 kB
registry.js	text/javascript	28.6 kB
session.js	text/javascript	12.4 kB
session_config.js	text/javascript	7.04 kB
tokenizers.js	text/javascript	2.43 kB