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model_names (string)num_downloads (string)%_of_all_downloads (float64)num_models (int64)download_per_model (float64)modality (string)
"bert"
"101,428,256"
34.603
10,891
9,313.03
"text"
"deberta"
"31,919,542"
10.89
138
231,301.03
"text"
"roberta"
"29,019,579"
9.9
3,416
8,495.19
"text"
"distilbert"
"22,062,442"
7.527
3,091
7,137.64
"text"
"gpt2"
"18,664,223"
6.367
6,639
2,811.3
"text"
"camembert"
"18,662,567"
6.367
318
58,687.32
"text"
"t5"
"15,331,451"
5.23
2,926
5,239.73
"text"
"xlm-roberta"
"15,088,591"
5.148
1,348
11,193.32
"text"
"albert"
"8,155,187"
2.782
393
20,751.11
"text"
"bart"
"5,745,977"
1.96
1,410
4,075.16
"text"
"marian"
"2,917,223"
0.995
1,797
1,623.39
"text"
"mpnet"
"2,571,087"
0.877
62
41,469.15
"text"
"electra"
"2,384,597"
0.814
754
3,162.6
"text"
"wav2vec2"
"1,816,618"
0.62
3,461
524.88
"audio"
"opt"
"1,748,259"
0.596
45
38,850.2
"text"
"clip"
"1,580,482"
0.539
37
42,715.73
"vision"
"deberta-v2"
"1,554,294"
0.53
215
7,229.27
"text"
"layoutlmv2"
"1,155,272"
0.394
57
20,267.93
"text"
"gptj"
"1,008,939"
0.344
100
10,089.39
"text"
"vit"
"726,049"
0.248
357
2,033.75
"vision"
"gpt_neo"
"725,313"
0.247
244
2,972.59
"text"
"mbart"
"718,777"
0.245
274
2,623.27
"text"
"dpr"
"716,729"
0.245
77
9,308.17
"text"
"xlnet"
"700,378"
0.239
121
5,788.25
"text"
"pegasus"
"696,377"
0.238
318
2,189.86
"text"
"m2m_100"
"607,163"
0.207
203
2,990.95
"text"
"detr"
"536,138"
0.183
21
25,530.38
"text"
"layoutlm"
"495,492"
0.169
24
20,645.5
"text"
"retribert"
"443,611"
0.151
2
221,805.5
"text"
"mt5"
"433,073"
0.148
644
672.47
"text"
"big_bird"
"252,686"
0.086
54
4,679.37
"text"
"longformer"
"242,329"
0.083
94
2,577.97
"text"
"funnel"
"242,495"
0.083
26
9,326.73
"text"
"mobilebert"
"179,070"
0.061
40
4,476.75
"text"
"bloom"
"148,445"
0.051
62
2,394.27
"text"
"squeezebert"
"121,838"
0.042
14
8,702.71
"text"
"openai-gpt"
"113,766"
0.039
5
22,753.2
"text"
"lxmert"
"104,305"
0.036
10
10,430.5
"text"
"vision-encoder-decoder"
"102,877"
0.035
81
1,270.09
"vision"
"blenderbot"
"99,755"
0.034
23
4,337.17
"text"
"hubert"
"97,970"
0.033
125
783.76
"audio"
"mvp"
"94,072"
0.032
16
5,879.5
"text"
"tapas"
"91,780"
0.031
57
1,610.18
"text"
"led"
"91,832"
0.031
54
1,700.59
"text"
"reformer"
"87,933"
0.03
12
7,327.75
"text"
"fsmt"
"84,852"
0.029
22
3,856.91
"text"
"xglm"
"69,414"
0.024
24
2,892.25
"text"
"swin"
"69,938"
0.024
62
1,128.03
"vision"
"layoutlmv3"
"70,825"
0.024
20
3,541.25
"text"
"resnet"
"54,870"
0.019
50
1,097.4
"vision"
"flaubert"
"55,975"
0.019
36
1,554.86
"text"
"bigbird_pegasus"
"56,184"
0.019
10
5,618.4
"text"
"segformer"
"51,435"
0.018
71
724.44
"vision"
"rag"
"51,466"
0.018
16
3,216.62
"text"
"trocr"
"51,032"
0.017
11
4,639.27
"text"
"convbert"
"49,914"
0.017
39
1,279.85
"text"
"xlm"
"46,291"
0.016
21
2,204.33
"text"
"speech_to_text"
"43,140"
0.015
27
1,597.78
"audio"
"blenderbot-small"
"44,490"
0.015
7
6,355.71
"text"
"beit"
"45,200"
0.015
28
1,614.29
"vision"
"luke"
"41,650"
0.014
32
1,301.56
"text"
"deit"
"40,716"
0.014
9
4,524
"vision"
"yolos"
"35,419"
0.012
10
3,541.9
"text"
"longt5"
"35,189"
0.012
31
1,135.13
"text"
"codegen"
"33,982"
0.012
20
1,699.1
"text"
"plbart"
"30,319"
0.01
56
541.41
"text"
"vilt"
"26,260"
0.009
11
2,387.27
"text"
"encoder-decoder"
"25,120"
0.009
183
137.27
"text"
"gpt_neox"
"23,313"
0.008
3
7,771
"text"
"ctrl"
"24,365"
0.008
24
1,015.21
"text"
"canine"
"23,046"
0.008
23
1,002
"text"
"transfo-xl"
"20,628"
0.007
11
1,875.27
"text"
"ibert"
"20,032"
0.007
5
4,006.4
"text"
"wavlm"
"17,766"
0.006
76
233.76
"audio"
"prophetnet"
"18,455"
0.006
10
1,845.5
"text"
"vit_mae"
"15,779"
0.005
5
3,155.8
"text"
"fnet"
"15,787"
0.005
25
631.48
"text"
"unispeech-sat"
"10,310"
0.004
70
147.29
"audio"
"speech-encoder-decoder"
"11,406"
0.004
114
100.05
"audio"
"roformer"
"12,598"
0.004
20
629.9
"text"
"convnext"
"11,174"
0.004
47
237.74
"vision"
"visual_bert"
"7,647"
0.003
13
588.23
"text"
"data2vec-audio"
"8,483"
0.003
20
424.15
"audio"
"perceiver"
"5,393"
0.002
20
269.65
"vision"
"owlvit"
"4,851"
0.002
3
1,617
"text"
"megatron-bert"
"5,059"
0.002
18
281.06
"text"
"data2vec-vision"
"4,733"
0.002
5
946.6
"vision"
"data2vec-text"
"6,960"
0.002
10
696
"text"
"cvt"
"4,569"
0.002
7
652.71
"vision"
"xlm-roberta-xl"
"2,272"
0.001
6
378.67
"text"
"wav2vec2-conformer"
"4,342"
0.001
14
310.14
"audio"
"unispeech"
"3,489"
0.001
116
30.08
"audio"
"splinter"
"2,584"
0.001
28
92.29
"text"
"rembert"
"4,152"
0.001
10
415.2
"text"
"regnet"
"3,296"
0.001
34
96.94
"vision"
"realm"
"2,297"
0.001
9
255.22
"text"
"mobilevit"
"1,627"
0.001
12
135.58
"vision"
"levit"
"2,598"
0.001
6
433
"vision"
"imagegpt"
"2,833"
0.001
5
566.6
"vision"
"glpn"
"1,553"
0.001
2
776.5
"text"
End of preview (truncated to 100 rows)

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