Model Accuracy Report

Model	Task	DML GPU	MIGraph GPU	MLAS CPU	OV NPU	OV GPU	OV CPU	QNN NPU	QNN GPU	TRTRTX GPU	VitisAI NPU
Model	Task	Comp\|Acc	Comp\|Acc	Comp\|Acc	Comp\|Acc	Comp\|Acc	Comp\|Acc	Comp\|Acc	Comp\|Acc	Comp\|Acc	Comp\|Acc
▼sentence-transformers	5 models · 12 pairs	12/12\|9/9	12/12\|9/9	12/12\|9/9	12/12\|9/9	12/12\|9/9	12/12\|9/9	11/12\|9/9	12/12\|9/9	12/12\|9/9	12/12\|9/9
all-MiniLM-L6-v2	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
all-MiniLM-L6-v2	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
all-mpnet-base-v2	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
all-mpnet-base-v2	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
multi-qa-mpnet-base-dot-v1	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
multi-qa-mpnet-base-dot-v1	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
paraphrase-multilingual-MiniLM-L12-v2	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
paraphrase-multilingual-MiniLM-L12-v2	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
paraphrase-multilingual-mpnet-base-v2	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
all-mpnet-base-v2	fill-mask	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
multi-qa-mpnet-base-dot-v1	fill-mask	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
paraphrase-multilingual-mpnet-base-v2	feature-extraction	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—
▼BAAI	6 models · 10 pairs	10/10\|7/7	10/10\|7/7	10/10\|7/7	10/10\|7/7	10/10\|7/7	10/10\|7/7	10/10\|7/7	10/10\|7/7	10/10\|7/7	10/10\|7/7
bge-base-en-v1.5	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bge-base-en-v1.5	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bge-large-en-v1.5	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bge-m3	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bge-m3	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bge-small-en-v1.5	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bge-small-en-v1.5	sentence-similarity	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bge-large-en-v1.5	feature-extraction	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
bge-reranker-base	text-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
bge-reranker-v2-m3	text-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼google-bert	4 models · 6 pairs	6/6\|5/5	6/6\|5/5	6/6\|5/5	6/6\|5/5	6/6\|5/5	6/6\|5/5	6/6\|5/5	6/6\|5/5	6/6\|5/5	6/6\|5/5
bert-base-multilingual-cased	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bert-base-multilingual-cased	fill-mask	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bert-base-multilingual-uncased	fill-mask	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bert-base-uncased	fill-mask	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bert-large-uncased-whole-word-masking-finetuned-squad	question-answering	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bert-base-multilingual-cased	masked-lm	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼facebook	19 models · 21 pairs	17/21\|6/6	18/21\|6/6	18/21\|6/6	16/21\|6/6	9/21\|6/6	18/21\|6/6	15/21\|6/6	9/21\|4/6	17/21\|6/6	18/21\|6/6
convnext-tiny-224	image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
dino-vitb16	image-feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
dino-vits16	image-feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
dinov2-small	image-feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
dinov2-base	image-feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|▼	✓\|✓	✓\|✓
dinov2-large	image-feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|▼	✓\|✓	✓\|✓
bart-large-cnn	summarization	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
bart-large-mnli	text-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
bart-large-mnli	zero-shot-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
detr-resnet-50	feature-extraction	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—
detr-resnet-50	object-detection	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
dinov2-giant	image-feature-extraction	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
nllb-200-distilled-600M	translation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
nougat-base	image-to-text	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
sam-vit-base	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
sam-vit-huge	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
sam-vit-large	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
sam2-hiera-large	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
sam2.1-hiera-large	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
sam2.1-hiera-small	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
sam2.1-hiera-tiny	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
▼distilbert	4 models	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|4/4
distilbert-base-cased-distilled-squad	question-answering	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
distilbert-base-uncased	fill-mask	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
distilbert-base-uncased-distilled-squad	question-answering	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
distilbert-base-uncased-finetuned-sst-2-english	text-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼microsoft	28 models	23/28\|10/10	23/28\|9/10	23/28\|10/10	15/28\|10/10	20/28\|9/10	23/28\|10/10	14/28\|10/10	11/28\|7/10	23/28\|9/10	22/28\|10/10
resnet-18	image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
resnet-50	image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
swin-large-patch4-window7-224	image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
beit-base-patch16-224-pt22k-ft22k	image-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
llmlingua-2-xlm-roberta-large-meetingbank	token-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
rad-dino	image-feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|▼	✓\|✓	✓\|✓
swinv2-tiny-patch4-window16-256	image-classification	✓\|✓	✓\|▼	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
trocr-base-handwritten	image-to-text	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓
trocr-base-printed	image-to-text	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓
trocr-large-handwritten	image-to-text	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓
deberta-xlarge-mnli	text-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—
Phi-4-multimodal-instruct	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
speecht5_tts	text-to-speech	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
table-transformer-detection	object-detection	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✗	✓\|✓	✓\|✓	✓\|✗	✓\|✗	✓\|✓
table-transformer-structure-recognition	object-detection	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
table-transformer-structure-recognition-v1.1-all	object-detection	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
tapex-base	table-question-answering	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
tapex-base-finetuned-wikisql	table-question-answering	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
tapex-base-finetuned-wtq	table-question-answering	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
tapex-large	table-question-answering	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
tapex-large-finetuned-tabfact	table-question-answering	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
tapex-large-finetuned-wikisql	table-question-answering	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
tapex-large-finetuned-wtq	table-question-answering	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
tapex-large-sql-execution	table-question-answering	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
trocr-large-printed	image-to-text	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✗\|▼	✓\|✓	✓\|✓
VibeVoice-ASR-HF	audio-text-to-text	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
VibeVoice-Realtime-0.5B	text-to-speech	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
xclip-base-patch32	video-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼deepset	3 models	3/3\|3/3	3/3\|3/3	3/3\|3/3	3/3\|3/3	3/3\|3/3	3/3\|3/3	3/3\|3/3	3/3\|3/3	3/3\|3/3	3/3\|3/3
bert-large-uncased-whole-word-masking-squad2	question-answering	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
roberta-base-squad2	question-answering	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
tinyroberta-squad2	question-answering	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼FacebookAI	4 models	3/4\|3/4	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|4/4	4/4\|3/4	4/4\|4/4	4/4\|3/4	4/4\|4/4	4/4\|4/4
roberta-base	fill-mask	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
roberta-large	fill-mask	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
xlm-roberta-base	fill-mask	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
xlm-roberta-large	fill-mask	✗\|◷	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|◷	✓\|✓	✓\|▼	✓\|✓	✓\|✓
▼Intel	4 models · 5 pairs	5/5\|2/2	5/5\|2/2	5/5\|2/2	5/5\|2/2	4/5\|2/2	4/5\|2/2	4/5\|2/2	5/5\|2/2	5/5\|2/2	4/5\|2/2
bert-base-uncased-mrpc	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bert-base-uncased-mrpc	text-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
dpt-hybrid-midas	depth-estimation	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
dpt-large	depth-estimation	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
zoedepth-nyu-kitti	depth-estimation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✗\|—	✓\|—	✓\|—	✗\|—
▼openai	5 models · 9 pairs	6/9\|6/6	6/9\|5/6	6/9\|6/6	6/9\|6/6	6/9\|6/6	6/9\|6/6	3/9\|6/6	6/9\|4/6	6/9\|6/6	6/9\|3/6
clip-vit-base-patch16	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
clip-vit-base-patch32	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
clip-vit-base-patch32	zero-shot-image-classification	✓\|✓	✓\|—	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|▼
clip-vit-base-patch16	zero-shot-image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓	✓\|✓
clip-vit-base-patch16	zero-shot-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
clip-vit-base-patch32	zero-shot-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
clip-vit-large-patch14	zero-shot-image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|▼	✓\|✓	✓\|▼
clip-vit-large-patch14-336	zero-shot-image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|▼	✓\|✓	✓\|▼
gpt-oss-20b	text-generation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼google	10 models · 12 pairs	7/12\|2/2	9/12\|2/2	7/12\|2/2	7/12\|2/2	5/12\|2/2	7/12\|2/2	7/12\|2/2	2/12\|2/2	5/12\|2/2	8/12\|2/2
vit-base-patch16-224	image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
vit-base-patch16-224-in21k	image-feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
deplot	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
flan-t5-base		✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
flan-t5-base	summarization	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
flan-t5-base	translation	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
madlad400-3b-mt	translation	✗\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✓\|—
pegasus-xsum	summarization	✗\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✓\|—	✗\|—
pix2struct-ai2d-base	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
pix2struct-docvqa-base	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
siglip-base-patch16-224	zero-shot-image-classification	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
siglip-so400m-patch14-384	zero-shot-image-classification	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
▼laion	2 models · 4 pairs	3/4\|3/3	3/4\|2/3	3/4\|2/3	3/4\|3/3	3/4\|3/3	3/4\|2/3	3/4\|3/3	3/4\|3/3	3/4\|3/3	3/4\|2/3
CLIP-ViT-B-32-laion2B-s34B-b79K	feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
CLIP-ViT-B-32-laion2B-s34B-b79K	zero-shot-image-classification	✓\|✓	✓\|—	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|▼
CLIP-ViT-H-14-laion2B-s32B-b79K	zero-shot-image-classification	✓\|✓	✓\|✓	✓\|◷	✓\|✓	✓\|✓	✓\|◷	✓\|✓	✓\|✓	✓\|✓	✓\|✓
CLIP-ViT-B-32-laion2B-s34B-b79K	zero-shot-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼apple	2 models	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1
mobilevit-small	image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
DepthPro-hf	depth-estimation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼Babelscape	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
wikineural-multilingual-ner	token-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼dbmdz	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
bert-large-cased-finetuned-conll03-english	token-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼dima806	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
fairface_age_image_detection	image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼dslim	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
bert-base-NER	token-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼Isotonic	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
distilbert_finetuned_ai4privacy_v2	token-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼joeddav	2 models	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1	1/2\|1/1
xlm-roberta-large-xnli	zero-shot-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
bart-large-mnli-yahoo-answers	zero-shot-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼ProsusAI	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
finbert	text-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼rizvandwiki	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
gender-classification	image-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼w11wo	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
indonesian-roberta-base-posp-tagger	token-classification	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼cross-encoder	3 models	3/3\|—	3/3\|—	3/3\|—	3/3\|—	2/3\|—	3/3\|—	3/3\|—	3/3\|—	3/3\|—	3/3\|—
ms-marco-MiniLM-L4-v2	text-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
ms-marco-MiniLM-L6-v2	text-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
nli-deberta-v3-small	zero-shot-classification	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼StanfordAIMI	2 models	2/2\|1/1	2/2\|1/1	2/2\|1/1	2/2\|1/1	2/2\|1/1	2/2\|1/1	2/2\|1/1	2/2\|0/1	2/2\|1/1	2/2\|1/1
dinov2-base-xray-224	image-feature-extraction	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|▼	✓\|✓	✓\|✓
stanford-deidentifier-base	token-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼AdamCodd	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
vit-base-nsfw-detector	image-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼ahotrod	1 model	1/1\|1/1	1/1\|0/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
electra_large_discriminator_squad2_512	question-answering	✓\|✓	✓\|▼	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼amunchet	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
rorshark-vit-base	image-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼Falconsai	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
nsfw_image_detection	image-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼hustvl	1 model	1/1\|0/1	1/1\|0/1	1/1\|0/1	1/1\|0/1	1/1\|0/1	1/1\|0/1	1/1\|0/1	1/1\|0/1	1/1\|0/1	1/1\|0/1
yolos-small	object-detection	✓\|▼	✓\|▼	✓\|▼	✓\|▼	✓\|▼	✓\|▼	✓\|▼	✓\|▼	✓\|▼	✓\|▼
▼Jean-Baptiste	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
camembert-ner-with-dates	token-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼kredor	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
punctuate-all	token-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼lxyuan	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
distilbert-base-multilingual-cased-sentiments-student	zero-shot-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼monologg	1 model	1/1\|1/1	1/1\|0/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
koelectra-small-v2-distilled-korquad-384	question-answering	✓\|✓	✓\|▼	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼patrickjohncyh	1 model	1/1\|1/1	1/1\|0/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|0/1
fashion-clip	zero-shot-image-classification	✓\|✓	✓\|—	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|▼
▼tau	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
splinter-base	question-answering	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼valentinafeve	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|0/1	1/1\|1/1	1/1\|1/1	1/1\|0/1
yolos-fashionpedia	object-detection	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|▼	✓\|✓	✓\|✓	✓\|▼
▼nvidia	6 models	6/6\|3/3	6/6\|3/3	6/6\|3/3	5/6\|3/3	0/6\|3/3	6/6\|3/3	4/6\|3/3	6/6\|3/3	6/6\|3/3	6/6\|3/3
segformer-b1-finetuned-ade-512-512	image-segmentation	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
segformer-b2-finetuned-ade-512-512	image-segmentation	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
segformer-b5-finetuned-ade-640-640	image-segmentation	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓	✓\|✓
segformer-b0-finetuned-ade-512-512	image-segmentation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
segformer-b0-finetuned-cityscapes-1024-1024	image-segmentation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
segformer-b5-finetuned-cityscapes-1024-1024	image-segmentation	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—
▼cardiffnlp	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	0/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
twitter-roberta-base-sentiment-latest	text-classification	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼mattmdjaga	1 model	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	0/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1	1/1\|1/1
segformer_b2_clothes	image-segmentation	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✓\|✓
▼ai-forever	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
Real-ESRGAN		✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼alibaba-damo	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
mgp-str-base	image-to-text	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼breezedeus	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
pix2text-mfr	image-to-text	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼buildborderless	1 model	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	1/1\|—
CommunityForensics-DeepfakeDet-ViT	image-classification	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—
▼dandelin	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
vilt-b32-finetuned-vqa	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼depth-anything	3 models	3/3\|—	3/3\|—	3/3\|—	3/3\|—	0/3\|—	3/3\|—	3/3\|—	3/3\|—	3/3\|—	3/3\|—
Depth-Anything-V2-Base-hf	depth-estimation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
Depth-Anything-V2-Large-hf	depth-estimation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
Depth-Anything-V2-Small-hf	depth-estimation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼fashn-ai	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
fashn-human-parser	image-segmentation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼flaviagiammarino	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—
medsam-vit-base	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
▼google-t5	4 models · 7 pairs	5/7\|—	7/7\|—	5/7\|—	5/7\|—	5/7\|—	5/7\|—	5/7\|—	0/7\|—	0/7\|—	7/7\|—
t5-3b	summarization	✗\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✓\|—
t5-3b	translation	✗\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✓\|—
t5-base	summarization	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
t5-base	translation	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
t5-large	summarization	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
t5-small	summarization	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
t5-small	translation	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—
▼Helsinki-NLP	5 models	3/5\|—	3/5\|—	3/5\|—	3/5\|—	3/5\|—	3/5\|—	3/5\|—	0/5\|—	3/5\|—	3/5\|—
opus-mt-en-ru	translation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
opus-mt-es-en	translation	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
opus-mt-fr-en	translation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
opus-mt-nl-en	translation	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
opus-mt-tr-en	translation	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
▼hi-wesley	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
gemma3-vision-encoder	image-feature-extraction	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼internlm	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
internlm-xcomposer2d5-7b	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼intfloat	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—
multilingual-e5-large	sentence-similarity	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
▼jonathandinu	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
face-parsing	image-segmentation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼kha-white	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	0/1\|—	1/1\|—	1/1\|—
manga-ocr-base	image-to-text	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
▼knkarthick	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
MEETING_SUMMARY	summarization	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼LiheYoung	3 models	2/3\|—	2/3\|—	2/3\|—	2/3\|—	0/3\|—	2/3\|—	2/3\|—	2/3\|—	2/3\|—	2/3\|—
depth-anything-base-hf	depth-estimation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
depth-anything-large-hf	depth-estimation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
depth-anything-small-hf	depth-estimation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼Marqo	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
marqo-fashionSigLIP	zero-shot-image-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼mixedbread-ai	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
mxbai-rerank-xsmall-v1	text-classification	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼MoritzLaurer	4 models	4/4\|—	4/4\|—	4/4\|—	4/4\|—	0/4\|—	4/4\|—	4/4\|—	4/4\|—	4/4\|—	2/4\|—
DeBERTa-v3-large-mnli-fever-anli-ling-wanli	zero-shot-classification	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—
deberta-v3-large-zeroshot-v2.0	zero-shot-classification	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—
mDeBERTa-v3-base-mnli-xnli	zero-shot-classification	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
mDeBERTa-v3-base-xnli-multilingual-nli-2mil7	zero-shot-classification	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼moussaKam	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
mbarthez	summarization	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼naver-clova-ix	2 models	2/2\|—	2/2\|—	2/2\|—	1/2\|—	2/2\|—	2/2\|—	0/2\|—	0/2\|—	2/2\|—	2/2\|—
donut-base	image-to-text	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
donut-base-finetuned-cord-v2	image-to-text	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✓\|—
▼nlpconnect	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	0/1\|—	1/1\|—	0/1\|—
vit-gpt2-image-captioning	image-to-text	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✓\|—	✗\|—
▼obi	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	1/1\|—
deid_roberta_i2b2	token-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—
▼oliverguhr	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	1/1\|—
fullstop-punctuation-multilang-large	token-classification	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—
▼openai-community	1 model	1/1\|—	1/1\|—	1/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	1/1\|—	0/1\|—
gpt2	text-generation	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✓\|—	✗\|—
▼PekingU	3 models	3/3\|—	2/3\|—	3/3\|—	3/3\|—	0/3\|—	3/3\|—	3/3\|—	0/3\|—	3/3\|—	3/3\|—
rtdetr_r101vd_coco_o365	object-detection	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
rtdetr_r50vd_coco_o365	object-detection	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
rtdetr_v2_r18vd	object-detection	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
▼philschmid	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
bart-large-cnn-samsum	summarization	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼Qwen	7 models	1/7\|—	3/7\|—	1/7\|—	0/7\|—	0/7\|—	0/7\|—	0/7\|—	0/7\|—	2/7\|—	0/7\|—
Qwen2.5-0.5B-Instruct	text-generation	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✓\|—	✗\|—
Qwen2.5-1.5B-Instruct	text-generation	✗\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✓\|—	✗\|—
Qwen2.5-3B-Instruct	text-generation	✗\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
Qwen2.5-7B-Instruct	text-generation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
Qwen3-0.6B	text-generation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
Qwen3-1.7B	text-generation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
Qwen3-8B	text-generation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼Salesforce	5 models	1/5\|1/1	1/5\|0/1	1/5\|1/1	1/5\|1/1	1/5\|1/1	1/5\|1/1	0/5\|1/1	0/5\|0/1	1/5\|1/1	1/5\|1/1
blip-image-captioning-base	image-to-text	✓\|✓	✓\|▼	✓\|✓	✓\|✓	✓\|✓	✓\|✓	✗\|✓	✗\|▼	✓\|✓	✓\|✓
blip-vqa-base	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
blip2-flan-t5-xl	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
blip2-opt-2.7b	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
blip2-opt-2.7b-coco	visual-question-answering	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼sshleifer	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	0/1\|—	0/1\|—	1/1\|—
distilbart-cnn-12-6	summarization	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✗\|—	✓\|—
▼TahaDouaji	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—	1/1\|—
detr-doc-table-detection	object-detection	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—	✓\|—	✓\|—
▼timm	2 models	—\|—	—\|—	—\|—	—\|—	—\|—	—\|—	—\|—	—\|—	2/2\|—	—\|—
mobilenetv3_small_100.lamb_in1k	image-classification	∅\|—	∅\|—	∅\|—	∅\|—	∅\|—	∅\|—	∅\|—	∅\|—	✓\|—	∅\|—
repghostnet_200.in1k	image-classification	∅\|—	∅\|—	∅\|—	∅\|—	∅\|—	∅\|—	∅\|—	∅\|—	✓\|—	∅\|—
▼timpal0l	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	1/1\|—
mdeberta-v3-base-squad2	question-answering	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✗\|—	✓\|—	✓\|—	✓\|—
▼trl-internal-testing	1 model	1/1\|—	1/1\|—	1/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	1/1\|—	0/1\|—
tiny-Qwen2ForCausalLM-2.5	text-generation	✓\|—	✓\|—	✓\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✓\|—	✗\|—
▼valhalla	1 model	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—	0/1\|—
distilbart-mnli-12-3	zero-shot-classification	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼wanglab	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—
medsam-vit-base	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—
▼Xenova	2 models	0/2\|—	0/2\|—	0/2\|—	0/2\|—	0/2\|—	0/2\|—	0/2\|—	0/2\|—	0/2\|—	0/2\|—
paraphrase-multilingual-MiniLM-L12-v2	feature-extraction	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
segformer-b0-finetuned-ade-512-512	image-segmentation	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—	✗\|—
▼Zigeng	1 model	1/1\|—	1/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—	0/1\|—	1/1\|—	1/1\|—
SlimSAM-uniform-77	mask-generation	✓\|—	✓\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—	✗\|—	✓\|—	✓\|—