Datasets:

huggingface
/

transformers-metadata

model_type stringlengths 2 29	pytorch bool 1 class	tensorflow bool 2 classes	flax bool 2 classes	processor stringclasses 4 values
albert	true	true	true	AutoTokenizer
align	true	false	false	AutoProcessor
altclip	true	false	false	AutoProcessor
aria	true	false	false	AutoProcessor
aria_text	true	false	false	AutoTokenizer
audio-spectrogram-transformer	true	false	false	AutoFeatureExtractor
autoformer	true	false	false	AutoTokenizer
bamba	true	false	false	AutoTokenizer
bark	true	false	false	AutoProcessor
bart	true	true	true	AutoTokenizer
beit	true	false	true	AutoImageProcessor
bert	true	true	true	AutoTokenizer
bert-generation	true	false	false	AutoTokenizer
big_bird	true	false	true	AutoTokenizer
bigbird_pegasus	true	false	false	AutoTokenizer
biogpt	true	false	false	AutoTokenizer
bit	true	false	false	AutoImageProcessor
blenderbot	true	true	true	AutoTokenizer
blenderbot-small	true	true	true	AutoTokenizer
blip	true	true	false	AutoProcessor
blip-2	true	false	false	AutoProcessor
bloom	true	false	true	AutoTokenizer
bridgetower	true	false	false	AutoProcessor
bros	true	false	false	AutoTokenizer
camembert	true	true	false	AutoTokenizer
canine	true	false	false	AutoTokenizer
chameleon	true	false	false	AutoProcessor
chinese_clip	true	false	false	AutoProcessor
chinese_clip_vision_model	true	false	false	AutoTokenizer
clap	true	false	false	AutoProcessor
clip	true	true	true	AutoProcessor
clip_text_model	true	true	true	AutoTokenizer
clip_vision_model	true	true	true	AutoTokenizer
clipseg	true	false	false	AutoProcessor
clvp	true	false	false	AutoProcessor
codegen	true	false	false	AutoTokenizer
cohere	true	false	false	AutoTokenizer
cohere2	true	false	false	AutoTokenizer
colpali	true	false	false	AutoProcessor
conditional_detr	true	false	false	AutoImageProcessor
convbert	true	true	false	AutoTokenizer
convnext	true	true	false	AutoImageProcessor
convnextv2	true	true	false	AutoImageProcessor
cpmant	true	false	false	AutoTokenizer
ctrl	true	true	false	AutoTokenizer
cvt	true	true	false	AutoImageProcessor
dac	true	false	false	AutoFeatureExtractor
data2vec-audio	true	false	false	AutoTokenizer
data2vec-text	true	false	false	AutoTokenizer
data2vec-vision	true	true	false	AutoImageProcessor
dbrx	true	false	false	AutoTokenizer
deberta	true	true	false	AutoTokenizer
deberta-v2	true	true	false	AutoTokenizer
decision_transformer	true	false	false	AutoTokenizer
deformable_detr	true	false	false	AutoImageProcessor
deit	true	true	false	AutoImageProcessor
depth_anything	true	false	false	AutoImageProcessor
deta	true	false	false	AutoImageProcessor
detr	true	false	false	AutoImageProcessor
dinat	true	false	false	AutoImageProcessor
dinov2	true	false	true	AutoImageProcessor
dinov2_with_registers	true	false	false	AutoTokenizer
distilbert	true	true	true	AutoTokenizer
donut-swin	true	false	false	AutoImageProcessor
dpr	true	true	false	AutoTokenizer
dpt	true	false	false	AutoImageProcessor
efficientformer	true	true	false	AutoImageProcessor
efficientnet	true	false	false	AutoImageProcessor
electra	true	true	true	AutoTokenizer
encodec	true	false	false	AutoFeatureExtractor
encoder-decoder	true	true	true	AutoTokenizer
ernie	true	false	false	AutoTokenizer
ernie_m	true	false	false	AutoTokenizer
esm	true	true	false	AutoTokenizer
falcon	true	false	false	AutoTokenizer
falcon_mamba	true	false	false	AutoTokenizer
fastspeech2_conformer	true	false	false	AutoTokenizer
flaubert	true	true	false	AutoTokenizer
flava	true	false	false	AutoProcessor
fnet	true	false	false	AutoTokenizer
focalnet	true	false	false	AutoImageProcessor
fsmt	true	false	false	AutoTokenizer
funnel	true	true	false	AutoTokenizer
fuyu	true	false	false	AutoProcessor
gemma	true	false	true	AutoTokenizer
gemma2	true	false	false	AutoTokenizer
git	true	false	false	AutoProcessor
glm	true	false	false	AutoTokenizer
glpn	true	false	false	AutoImageProcessor
gpt2	true	true	true	AutoTokenizer
gpt_bigcode	true	false	false	AutoTokenizer
gpt_neo	true	false	true	AutoTokenizer
gpt_neox	true	false	false	AutoTokenizer
gpt_neox_japanese	true	false	false	AutoTokenizer
gptj	true	true	true	AutoTokenizer
gptsan-japanese	true	false	false	AutoTokenizer
granite	true	false	false	AutoTokenizer
granitemoe	true	false	false	AutoTokenizer
graphormer	true	false	false	AutoTokenizer
grounding-dino	true	false	false	AutoProcessor

End of preview. Expand in Dataset Viewer.

Transformers metadata

Downloads last month: 531

Size of downloaded dataset files:

173 kB

Size of the auto-converted Parquet files:

23.8 kB

Number of rows:

1,518

Models trained or fine-tuned on huggingface/transformers-metadata

or4cl3ai/Aiden_t5

Text Generation • Updated Oct 6, 2023 • 852 • 15