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data_32_2022.csv

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-model_names,num_downloads,%_of_all_downloads,num_models,download_per_model
-bert,"101,428,256",34.603,10853,9345.64
-deberta,"31,919,542",10.89,138,231301.03
-roberta,"29,019,579",9.9,3416,8495.19
-distilbert,"22,062,442",7.527,3087,7146.89
-gpt2,"18,664,223",6.367000000000001,6637,2812.15
-camembert,"18,662,567",6.367000000000001,318,58687.32
-t5,"15,331,451",5.2299999999999995,2925,5241.52
-xlm-roberta,"15,088,591",5.148,1348,11193.32
-albert,"8,155,187",2.782,393,20751.11
-bart,"5,745,977",1.96,1410,4075.16
-marian,"2,917,223",0.9950000000000001,1797,1623.39
-mpnet,"2,571,087",0.877,62,41469.15
-electra,"2,384,597",0.814,754,3162.6
-wav2vec2,"1,816,618",0.62,3460,525.03
-opt,"1,748,259",0.596,45,38850.2
-clip,"1,580,482",0.539,37,42715.73
-deberta-v2,"1,554,294",0.53,215,7229.27
-layoutlmv2,"1,155,272",0.394,57,20267.93
-gptj,"1,008,939",0.344,100,10089.39
-vit,"726,049",0.248,357,2033.75
-gpt_neo,"725,313",0.247,244,2972.59
-mbart,"718,777",0.245,274,2623.27
-dpr,"716,729",0.245,77,9308.17
-xlnet,"700,378",0.23900000000000002,121,5788.25
-pegasus,"696,377",0.23800000000000002,318,2189.86
-m2m_100,"607,163",0.207,203,2990.95
-detr,"536,138",0.183,21,25530.38
-layoutlm,"495,492",0.169,24,20645.5
-retribert,"443,611",0.151,2,221805.5
-mt5,"433,073",0.148,644,672.47
-big_bird,"252,686",0.086,54,4679.37
-longformer,"242,329",0.083,94,2577.97
-funnel,"242,495",0.083,26,9326.73
-mobilebert,"179,070",0.061,40,4476.75
-bloom,"148,445",0.051000000000000004,62,2394.27
-squeezebert,"121,838",0.042,14,8702.71
-openai-gpt,"113,766",0.039,5,22753.2
-lxmert,"104,305",0.036000000000000004,10,10430.5
-vision-encoder-decoder,"102,877",0.034999999999999996,81,1270.09
-blenderbot,"99,755",0.034,23,4337.17
-hubert,"97,970",0.033,125,783.76
-mvp,"94,072",0.032,16,5879.5
-tapas,"91,780",0.031,57,1610.18
-led,"91,832",0.031,54,1700.59
-reformer,"87,933",0.03,12,7327.75
-fsmt,"84,852",0.029,22,3856.91
-xglm,"69,414",0.024,24,2892.25
-swin,"69,938",0.024,61,1146.52
-layoutlmv3,"70,825",0.024,20,3541.25
-resnet,"54,870",0.019,50,1097.4
-flaubert,"55,975",0.019,36,1554.86
-bigbird_pegasus,"56,184",0.019,10,5618.4
-segformer,"51,435",0.018000000000000002,70,734.79
-rag,"51,466",0.018000000000000002,16,3216.62
-trocr,"51,032",0.017,11,4639.27
-convbert,"49,914",0.017,39,1279.85
-xlm,"46,291",0.016,21,2204.33
-speech_to_text,"43,140",0.015,27,1597.78
-blenderbot-small,"44,490",0.015,7,6355.71
-beit,"45,200",0.015,28,1614.29
-luke,"41,650",0.013999999999999999,32,1301.56
-deit,"40,716",0.013999999999999999,9,4524.0
-yolos,"35,419",0.012,10,3541.9
-longt5,"35,189",0.012,31,1135.13
-codegen,"33,982",0.012,20,1699.1
-plbart,"30,319",0.01,56,541.41
-vilt,"26,260",0.009000000000000001,11,2387.27
-encoder-decoder,"25,120",0.009000000000000001,183,137.27
-gpt_neox,"23,313",0.008,3,7771.0
-ctrl,"24,365",0.008,24,1015.21
-canine,"23,046",0.008,23,1002.0
-transfo-xl,"20,628",0.006999999999999999,11,1875.27
-ibert,"20,032",0.006999999999999999,5,4006.4
-wavlm,"17,766",0.006,76,233.76
-prophetnet,"18,455",0.006,10,1845.5
-vit_mae,"15,779",0.005,5,3155.8
-fnet,"15,787",0.005,25,631.48
-unispeech-sat,"10,310",0.004,70,147.29
-speech-encoder-decoder,"11,406",0.004,114,100.05
-roformer,"12,598",0.004,20,629.9
-convnext,"11,174",0.004,47,237.74
-visual_bert,"7,647",0.003,13,588.23
-data2vec-audio,"8,483",0.003,20,424.15
-perceiver,"5,393",0.002,20,269.65
-owlvit,"4,851",0.002,3,1617.0
-megatron-bert,"5,059",0.002,18,281.06
-data2vec-vision,"4,733",0.002,5,946.6
-data2vec-text,"6,960",0.002,10,696.0
-cvt,"4,569",0.002,7,652.71
-xlm-roberta-xl,"2,272",0.001,6,378.67
-wav2vec2-conformer,"4,342",0.001,14,310.14
-unispeech,"3,489",0.001,116,30.08
-splinter,"2,584",0.001,28,92.29
-rembert,"4,152",0.001,10,415.2
-regnet,"3,296",0.001,34,96.94
-realm,"2,297",0.001,9,255.22
-mobilevit,"1,627",0.001,12,135.58
-levit,"2,598",0.001,6,433.0
-imagegpt,"2,833",0.001,5,566.6
-glpn,"1,553",0.001,2,776.5
-flava,"3,884",0.001,1,3884.0
-dpt,"2,272",0.001,3,757.33
-bert-generation,"2,035",0.001,1,2035.0
-yoso,519,0.0,6,86.5
-xlm-prophetnet,"1,350",0.0,9,150.0
-vision-text-dual-encoder,594,0.0,7,84.86
-van,548,0.0,5,109.6
-trajectory_transformer,279,0.0,16,17.44
-swinv2,359,0.0,12,29.92
-speech_to_text_2,0,0.0,0,0.0
-sew-d,563,0.0,19,29.63
-sew,629,0.0,12,52.42
-qdqbert,0,0.0,0,0.0
-poolformer,440,0.0,5,88.0
-nystromformer,962,0.0,9,106.89
-nezha,"1,420",0.0,4,355.0
-mctct,821,0.0,5,164.2
-maskformer,973,0.0,16,60.81
-groupvit,878,0.0,3,292.67
-decision_transformer,682,0.0,11,62.0