@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, 20 files

Filename	Content Type	Size
../
afmoe/	–	471 B
albert/	–	2.15 kB
apertus/	–	489 B
arcee/	–	471 B
audio_spectrogram_transformer/	–	2.71 kB
auto/	–	17.2 kB
bart/	–	1.68 kB
beit/	–	1.05 kB
bert/	–	3.25 kB
bit/	–	349 B
blenderbot/	–	1.12 kB
blenderbot_small/	–	1.21 kB
bloom/	–	1.23 kB
camembert/	–	3.58 kB
chatterbox/	–	3.64 kB
chinese_clip/	–	837 B
chmv2/	–	768 B
clap/	–	6.67 kB
clip/	–	5.32 kB
clipseg/	–	2.2 kB
code_llama/	–	372 B
codegen/	–	1.13 kB
cohere/	–	940 B
cohere2/	–	489 B
cohere_asr/	–	4.22 kB
convbert/	–	3.65 kB
convnext/	–	1.67 kB
convnextv2/	–	1.01 kB
d_fine/	–	722 B
dac/	–	2.88 kB
deberta/	–	3.63 kB
deberta_v2/	–	3.69 kB
decision_transformer/	–	720 B
deepseek_v3/	–	520 B
deit/	–	1.13 kB
depth_anything/	–	610 B
depth_pro/	–	434 B
detr/	–	5.2 kB
dinov2/	–	1.01 kB
dinov2_with_registers/	–	1.16 kB
dinov3_convnext/	–	463 B
dinov3_vit/	–	811 B
distilbert/	–	3.35 kB
donut/	–	565 B
donut_swin/	–	3.53 kB
dpt/	–	2.46 kB
efficientnet/	–	1.48 kB
electra/	–	3.71 kB
encodec/	–	925 B
ernie4_5/	–	498 B
esm/	–	2.76 kB
eurobert/	–	1.99 kB
exaone/	–	480 B
falcon/	–	940 B
falcon_h1/	–	502 B
fastvit/	–	726 B
florence2/	–	3.84 kB
gemma/	–	1.03 kB
gemma2/	–	694 B
gemma3/	–	2.6 kB
gemma3n/	–	6.05 kB
gemma4/	–	4.53 kB
glm/	–	453 B
glm46v/	–	733 B
glm_moe_dsa/	–	515 B
glm_ocr/	–	1.61 kB
glpn/	–	2.21 kB
gpt2/	–	935 B
gpt_bigcode/	–	520 B
gpt_neo/	–	484 B
gpt_neox/	–	855 B
gpt_oss/	–	484 B
gptj/	–	462 B
granite/	–	489 B
granite_speech/	–	3.16 kB
granitemoehybrid/	–	570 B
grounding_dino/	–	3.68 kB
groupvit/	–	417 B
helium/	–	480 B
herbert/	–	357 B
hiera/	–	708 B
hubert/	–	3.04 kB
hunyuan_v1_dense/	–	560 B
idefics3/	–	4 kB
ijepa/	–	708 B
jais/	–	723 B
janus/	–	4.21 kB
jina_clip/	–	1.91 kB
lfm2/	–	462 B
lfm2_moe/	–	493 B
lfm2_vl/	–	3.75 kB
lighton_ocr/	–	399 B
llama/	–	1.03 kB
llama4/	–	409 B
llava/	–	1.72 kB
llava_onevision/	–	751 B
longt5/	–	830 B
m2m_100/	–	2.15 kB
marian/	–	1.18 kB
mask2former/	–	422 B
maskformer/	–	1.73 kB
mbart/	–	2.53 kB
mbart50/	–	351 B
metric3d/	–	430 B
metric3dv2/	–	444 B
mgp_str/	–	6 kB
mimi/	–	2.51 kB
ministral/	–	507 B
ministral3/	–	516 B
mistral/	–	597 B
mistral3/	–	385 B
mistral4/	–	498 B
mobilebert/	–	2.6 kB
mobilellm/	–	507 B
mobilenet_v1/	–	1.61 kB
mobilenet_v2/	–	1.61 kB
mobilenet_v3/	–	1.61 kB
mobilenet_v4/	–	1.61 kB
mobilevit/	–	1.21 kB
mobilevitv2/	–	762 B
modernbert/	–	2.01 kB
modernbert_decoder/	–	583 B
moonshine/	–	2.69 kB
mpnet/	–	3.4 kB
mpt/	–	712 B
mt5/	–	581 B
multi_modality/	–	1.02 kB
musicgen/	–	2.5 kB
nanochat/	–	498 B
nemotron_h/	–	511 B
neobert/	–	2.51 kB
nllb/	–	1.86 kB
nomic_bert/	–	428 B
nougat/	–	730 B
olmo/	–	462 B
olmo2/	–	471 B
olmo3/	–	471 B
olmo_hybrid/	–	520 B
openai_privacy_filter/	–	1.06 kB
openelm/	–	489 B
opt/	–	700 B
owlv2/	–	854 B
owlvit/	–	1.81 kB
paligemma/	–	1.3 kB
parakeet/	–	2.68 kB
patchtsmixer/	–	703 B
patchtst/	–	659 B
phi/	–	557 B
phi3/	–	567 B
phi3_v/	–	3.12 kB
pixtral/	–	1.27 kB
pvt/	–	1.04 kB
pyannote/	–	7.83 kB
qwen2/	–	1.03 kB
qwen2_5_vl/	–	933 B
qwen2_moe/	–	502 B
qwen2_vl/	–	8.07 kB
qwen3/	–	683 B
qwen3_5/	–	478 B
qwen3_5_moe/	–	567 B
qwen3_moe/	–	502 B
qwen3_next/	–	511 B
qwen3_vl/	–	940 B
qwen3_vl_moe/	–	575 B
resnet/	–	1.11 kB
rf_detr/	–	823 B
roberta/	–	3.14 kB
roformer/	–	3.65 kB
rt_detr/	–	2.17 kB
rt_detr_v2/	–	849 B
sam/	–	14.9 kB
sam2/	–	3.06 kB
sam3/	–	298 B
sapiens/	–	1.24 kB
seamless_m4t/	–	2.71 kB
segformer/	–	1.67 kB
siglip/	–	4.89 kB
smollm3/	–	489 B
smolvlm/	–	1.16 kB
snac/	–	2.1 kB
solar_open/	–	511 B
speecht5/	–	7.66 kB
squeezebert/	–	2.24 kB
stablelm/	–	737 B
starcoder2/	–	627 B
style_text_to_speech_2/	–	503 B
supertonic/	–	766 B
swin/	–	783 B
swin2sr/	–	2.32 kB
t5/	–	882 B
table_transformer/	–	1.28 kB
trocr/	–	473 B
ultravox/	–	2.07 kB
unispeech/	–	2.04 kB
unispeech_sat/	–	2.74 kB
vaultgemma/	–	516 B
vision_encoder_decoder/	–	530 B
vit/	–	1.11 kB
vit_mae/	–	407 B
vit_msn/	–	721 B
vitmatte/	–	3.78 kB
vitpose/	–	2.36 kB
vits/	–	2.9 kB
voxtral/	–	1.89 kB
voxtral_realtime/	–	5.6 kB
wav2vec2/	–	5.87 kB
wav2vec2_bert/	–	2.09 kB
wav2vec2_with_lm/	–	1.01 kB
wavlm/	–	7.41 kB
wespeaker/	–	1.64 kB
wespeaker_resnet/	–	470 B
whisper/	–	14.3 kB
xlm/	–	3.31 kB
xlm_roberta/	–	3.23 kB
yolos/	–	2.22 kB
youtu/	–	471 B
feature_extractors.d.ts	text/typescript	1.29 kB
feature_extractors.d.ts.map	application/json	140 B
image_processors.d.ts	text/typescript	2.86 kB
image_processors.d.ts.map	application/json	136 B
modeling_outputs.d.ts	text/typescript	6.37 kB
modeling_outputs.d.ts.map	application/json	1.32 kB
modeling_utils.d.ts	text/typescript	18.2 kB
modeling_utils.d.ts.map	application/json	3.07 kB
models.d.ts	text/typescript	9.77 kB
models.d.ts.map	application/json	116 B
processors.d.ts	text/typescript	1.84 kB
processors.d.ts.map	application/json	124 B
registry.d.ts	text/typescript	4.39 kB
registry.d.ts.map	application/json	551 B
session.d.ts	text/typescript	1.5 kB
session.d.ts.map	application/json	361 B
session_config.d.ts	text/typescript	1.52 kB
session_config.d.ts.map	application/json	455 B
tokenizers.d.ts	text/typescript	2.47 kB
tokenizers.d.ts.map	application/json	124 B