@huggingface/transformers

Version:

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

58 folders, 6 files

Filename	Content Type	Size
../
audio_spectrogram_transformer/	–	1.83 kB
auto/	–	2.57 kB
beit/	–	361 B
bit/	–	354 B
chinese_clip/	–	400 B
clap/	–	4.16 kB
clip/	–	436 B
convnext/	–	691 B
dac/	–	384 B
deit/	–	436 B
detr/	–	2.63 kB
donut/	–	570 B
dpt/	–	429 B
efficientnet/	–	473 B
encodec/	–	930 B
florence2/	–	2.21 kB
glpn/	–	361 B
grounding_dino/	–	3.22 kB
idefics3/	–	3.52 kB
janus/	–	4.18 kB
jina_clip/	–	1.13 kB
llava_onevision/	–	413 B
mask2former/	–	422 B
maskformer/	–	1.21 kB
mgp_str/	–	4.17 kB
mobilenet_v1/	–	489 B
mobilenet_v2/	–	489 B
mobilenet_v3/	–	489 B
mobilenet_v4/	–	489 B
mobilevit/	–	471 B
moonshine/	–	2.02 kB
nougat/	–	377 B
owlv2/	–	376 B
owlvit/	–	1.32 kB
paligemma/	–	903 B
phi3_v/	–	2.22 kB
pvt/	–	354 B
pyannote/	–	3.23 kB
qwen2_vl/	–	1.82 kB
rt_detr/	–	630 B
sam/	–	8.39 kB
sapiens/	–	647 B
seamless_m4t/	–	2.72 kB
segformer/	–	661 B
siglip/	–	369 B
smolvlm/	–	616 B
snac/	–	373 B
speecht5/	–	1.35 kB
swin2sr/	–	501 B
ultravox/	–	986 B
vit/	–	429 B
vitmatte/	–	1.27 kB
vitpose/	–	1.87 kB
wav2vec2/	–	2.26 kB
wav2vec2_with_lm/	–	1.01 kB
wespeaker/	–	1.65 kB
whisper/	–	7.1 kB
yolos/	–	700 B
feature_extractors.d.ts	text/typescript	873 B
feature_extractors.d.ts.map	application/json	140 B
image_processors.d.ts	text/typescript	2.22 kB
image_processors.d.ts.map	application/json	136 B
processors.d.ts	text/typescript	1.01 kB
processors.d.ts.map	application/json	124 B