model_name,author,model_class,params,hash,license,task,groq_chips_used,groq_estimated_latency,nvidia_latency,x86_latency,onnx_exported,onnx_optimized,onnx_converted
alexnet,torch_hub,AlexNet,61100840,2891f54c,-,-,2,0.0003079548478,-,-,TRUE,TRUE,TRUE
bart,huggingface_pytorch,BartModel,406291456,cb0751ce,-,-,16,-,4.1779,681.3823215,TRUE,TRUE,TRUE
beit,huggingface_pytorch,BeitModel,85656576,6b5d54c6,-,-,2,-,1.29618,185.5214294,TRUE,TRUE,TRUE
bert,huggingface_pytorch,BertModel,109482240,d59172a2,-,-,4,0.9663413333,0.890598,188.3186084,TRUE,TRUE,TRUE
bert_for_question_answering,huggingface_pytorch,BertForQuestionAnswering,334094338,64bce7df,-,-,8,-,1.85457,552.7517397,TRUE,TRUE,TRUE
bert_generation,huggingface_pytorch,EncoderDecoderModel,769021754,42b8fae4,-,-,16,-,8.85347,913.2928797,TRUE,TRUE,TRUE
bert_tiny_for_sequence_classification,huggingface_pytorch,BertForSequenceClassification,4386178,ca662a9e,-,-,1,0.05083794444,0.120389,2.14453271,TRUE,TRUE,TRUE
blenderbot_small,huggingface_pytorch,BlenderbotSmallModel,85113344,d65dd9e3,-,-,2,-,1.95831,138.3905184,TRUE,TRUE,TRUE
camembert,huggingface_pytorch,CamembertModel,109482240,a2ac5985,-,-,4,1.288656889,1.23541,172.9813261,TRUE,TRUE,TRUE
convbert,huggingface_pytorch,ConvBertModel,105680520,b39013e9,-,-,4,-,1.90839,174.842394,TRUE,TRUE,TRUE
convnext,huggingface_pytorch,ConvNextModel,27820128,80414def,-,-,1,-,1.80487,103.3749822,TRUE,TRUE,TRUE
convnext_base,torch_hub,ConvNeXt,88591464,c68282ce,-,-,2,-,3.59785,280.9491056,TRUE,TRUE,TRUE
convnext_large,torch_hub,ConvNeXt,197767336,af479213,-,-,4,-,4.31856,516.1107257,TRUE,TRUE,TRUE
convnext_small,torch_hub,ConvNeXt,50223688,32bd6900,-,-,2,-,3.30458,192.3396593,TRUE,TRUE,TRUE
convnext_tiny,torch_hub,ConvNeXt,28589128,4f884eed,-,-,1,-,1.79953,106.0015951,TRUE,TRUE,TRUE
deberta,huggingface_pytorch,DebertaModel,124043520,f4e4f0d1,-,-,4,0.8639662222,0.942291,150.931773,TRUE,TRUE,TRUE
deit,huggingface_pytorch,DeiTModel,86390784,4519cd75,-,-,2,-,1.16407,172.334886,TRUE,TRUE,TRUE
deit_base_for_image_classification,huggingface_pytorch,ViTForImageClassification,86567656,8fa842d1,-,-,2,-,1.21188,172.4017834,TRUE,TRUE,TRUE
deit_tiny_for_image_classification,huggingface_pytorch,ViTForImageClassification,5717416,4f7bba18,-,-,1,0.1954495556,0.763333,21.97454785,TRUE,TRUE,TRUE
densenet121,torch_hub,DenseNet,7978856,d5f7254d,-,-,1,0.0006596257212,3.23032,-,TRUE,TRUE,TRUE
densenet161,torch_hub,DenseNet,28681000,6c360ce5,-,-,1,0.001127677071,5.84562,-,TRUE,TRUE,TRUE
densenet169,torch_hub,DenseNet,14149480,ccd997cb,-,-,1,0.0007536718529,5.8358,-,TRUE,TRUE,TRUE
densenet201,torch_hub,DenseNet,20013928,e355a66c,-,-,1,0.0009160426306,8.36527,-,TRUE,TRUE,TRUE
detr,huggingface_pytorch,DetrModel,-,c328f5b8,-,-,-,-,-,-,TRUE,TRUE,FALSE
detr_for_object_detection,huggingface_pytorch,DetrForObjectDetection,-,a2481ba5,-,-,-,-,-,-,TRUE,TRUE,FALSE
distil_wav2vec2_for_audio_classification,huggingface_pytorch,Wav2Vec2ForSequenceClassification,37866114,cd811c97,-,-,1,-,0.767698,84.4364048,TRUE,TRUE,TRUE
distilbert,huggingface_pytorch,DistilBertModel,66362880,38518005,-,-,2,-,0.483703,79.0043254,TRUE,TRUE,TRUE
distilbert_for_question_answering,huggingface_pytorch,DistilBertForQuestionAnswering,66364418,65b3ff1b,-,-,2,-,0.496634,77.66832939,TRUE,TRUE,TRUE
distilhubert_for_audio_classification,huggingface_pytorch,HubertForSequenceClassification,23700397,4170140a,-,-,1,-,0.545268,58.70431691,TRUE,TRUE,TRUE
efficientnet_b0,torch_hub,EfficientNet,5288548,94890704,-,-,1,0.0004925801512,0.814676,31.81138228,TRUE,TRUE,TRUE
efficientnet_b1,torch_hub,EfficientNet,7794184,8e53a932,-,-,1,0.0007816324709,1.13436,45.3786087,TRUE,TRUE,TRUE
efficientnet_b2,torch_hub,EfficientNet,9109994,204800dc,-,-,1,0.0008040576708,1.20891,49.38766537,TRUE,TRUE,TRUE
efficientnet_b3,torch_hub,EfficientNet,12233232,2950ca5b,-,-,1,0.0006734568207,1.39295,66.19831594,TRUE,TRUE,TRUE
efficientnet_b4,torch_hub,EfficientNet,19341616,7d75dda2,-,-,1,0.0009512523096,1.71788,93.37265886,TRUE,TRUE,TRUE
efficientnet_b5,torch_hub,EfficientNet,30389784,204c9208,-,-,1,-,2.09213,131.9750043,TRUE,TRUE,TRUE
efficientnet_b6,torch_hub,EfficientNet,43040704,d5bd9458,-,-,1,-,2.51223,182.2891098,TRUE,TRUE,TRUE
efficientnet_b7,torch_hub,EfficientNet,66347960,6973429a,-,-,2,-,3.10628,274.1367294,TRUE,TRUE,TRUE
efficientnet_v2_l,torch_hub,EfficientNet,118515272,f5ddf7f0,-,-,4,-,3.72003,290.6034996,TRUE,TRUE,TRUE
efficientnet_v2_m,torch_hub,EfficientNet,54139356,a041aef8,-,-,2,-,2.52592,150.1474408,TRUE,TRUE,TRUE
efficientnet_v2_s,torch_hub,EfficientNet,21458488,ae743058,-,-,1,-,1.68682,70.12031699,TRUE,TRUE,TRUE
electra,huggingface_pytorch,ElectraModel,13483008,8da49ae6,-,-,1,0.1752993333,0.594047,27.94908514,TRUE,TRUE,TRUE
electra_for_sequence_classification,huggingface_pytorch,ElectraForSequenceClassification,109483778,5ccb19c4,-,-,4,0.8592055,0.875295,153.3815066,TRUE,TRUE,TRUE
encoder_decoder,huggingface_pytorch,EncoderDecoderModel,247363386,051eeb05,-,-,8,-,4.47258,409.9849552,TRUE,TRUE,TRUE
fasterrcnn_mobilenet_v3_large_320_fpn,torchvision,FasterRCNN,19327458,59bcc1a5,-,-,-,-,-,-,TRUE,TRUE,FALSE
fasterrcnn_mobilenet_v3_large_fpn,torchvision,FasterRCNN,19327458,e32c9090,-,-,-,-,-,-,TRUE,TRUE,FALSE
fasterrcnn_resnet50_fpn,torchvision,FasterRCNN,41532886,d8b3f65a,-,-,-,-,-,-,TRUE,TRUE,FALSE
fasterrcnn_resnet50_fpn_v2,torchvision,FasterRCNN,43712278,7147702b,-,-,-,-,-,-,TRUE,TRUE,FALSE
fcos_resnet50_fpn,torchvision,FCOS,32047200,78b52a80,-,-,-,-,-,-,TRUE,TRUE,FALSE
flaubert,huggingface_pytorch,FlaubertModel,667088896,6202b0cf,-,-,16,-,2.0277,940.9649789,TRUE,TRUE,TRUE
funnel,huggingface_pytorch,FunnelModel,130973184,ab8f5fd3,-,-,4,-,1.47408,207.817879,TRUE,TRUE,TRUE
funnel_base,huggingface_pytorch,FunnelBaseModel,115611648,37ecc84c,-,-,4,-,1.09499,171.8899789,TRUE,TRUE,TRUE
googlenet,torch_hub,GoogLeNet,13004888,6e59c54b,-,-,1,0.0002483361773,0.5169,-,TRUE,TRUE,TRUE
gpt1,huggingface_pytorch,OpenAIGPTModel,116534784,0342a9fe,-,-,4,0.8094195556,0.858544,144.989398,TRUE,TRUE,TRUE
gpt2,huggingface_pytorch,GPT2Model,124439808,af143a10,-,-,4,0.00907147347,1.55853,152.2276331,TRUE,TRUE,TRUE
gpt2_doublehead,huggingface_pytorch,GPT2DoubleHeadsModel,124440577,7befd733,-,-,4,-,2.79797,221.95254,TRUE,TRUE,TRUE
hardnet39ds,torch_hub,HarDNet,3488228,47ba431c,-,-,1,0.0003320344305,0.67027,26.53754076,TRUE,TRUE,TRUE
hardnet68,torch_hub,HarDNet,17565348,9d6d24cf,-,-,1,-,1.35664,56.17267523,TRUE,TRUE,TRUE
hardnet68ds,torch_hub,HarDNet,4180602,85f34cd3,-,-,1,0.0004761253484,1.19471,46.9427473,TRUE,TRUE,TRUE
hardnet85,torch_hub,HarDNet,36670212,acb062f3,-,-,1,-,1.8225,116.0840687,TRUE,TRUE,TRUE
imagegpt,huggingface_pytorch,ImageGPTModel,76420096,3b5850cc,-,-,2,-,2.36969,148.5845641,TRUE,TRUE,TRUE
inception_v3,torch_hub,Inception3,27161264,46db3db5,-,-,1,0.0004098971002,0.97934,-,TRUE,TRUE,TRUE
keypointrcnn_resnet50_fpn,torchvision,KeypointRCNN,58914858,2f5908b4,-,-,-,-,-,-,TRUE,TRUE,FALSE
layoutlm,huggingface_pytorch,LayoutLMModel,112627968,33ec397d,-,-,4,0.9206,0.901465,159.2217486,TRUE,TRUE,TRUE
luke,huggingface_pytorch,LukeModel,274500608,431c265c,-,-,4,0.7627902222,1.23909,-,TRUE,TRUE,TRUE
m2m_100,huggingface_pytorch,M2M100Model,483905536,533285d2,-,-,16,-,4.72023,-,TRUE,TRUE,TRUE
marian,huggingface_pytorch,MarianModel,73886208,ea99ab2b,-,-,2,-,1.4485,105.244295,TRUE,TRUE,TRUE
marianmt,huggingface_pytorch,MarianMTModel,105080832,f4dcd1cc,-,-,4,-,2.95891,165.7697905,TRUE,TRUE,TRUE
maskrcnn_resnet50_fpn,torchvision,MaskRCNN,44178993,a5f78569,-,-,-,-,-,-,TRUE,TRUE,FALSE
maskrcnn_resnet50_fpn_v2,torchvision,MaskRCNN,46359409,f4f1de9a,-,-,-,-,-,-,TRUE,TRUE,FALSE
megatron_bert,huggingface_pytorch,MegatronBertModel,333640704,2fa53f3f,-,-,8,-,1.91915,577.5945753,TRUE,TRUE,TRUE
minilmv2,huggingface_pytorch,BertModel,22713216,f969d36d,-,-,1,-,0.374368,29.33660368,TRUE,TRUE,TRUE
mnasnet0_5,torch_hub,MNASNet,2218512,9.13E+07,-,-,1,0.0002357698092,0.385858,-,TRUE,TRUE,TRUE
mnasnet0_75,torch_hub,MNASNet,3170208,4a915154,-,-,1,0.0003154650657,0.404581,-,TRUE,TRUE,TRUE
mnasnet1_0,torch_hub,MNASNet,4383312,041e693a,-,-,1,0.0003137047309,0.416877,-,TRUE,TRUE,TRUE
mnasnet1_3,torch_hub,MNASNet,6282256,87ea0deb,-,-,1,0.000329099549,0.452391,-,TRUE,TRUE,TRUE
mobilebert,huggingface_pytorch,MobileBertModel,24844544,72442a94,-,-,1,0.2661771111,2.48534,-,TRUE,TRUE,TRUE
mobilebert_for_sequence_classification,huggingface_pytorch,MobileBertForSequenceClassification,21197828,c6599ac3,-,-,1,0.257009,2.46666,-,TRUE,TRUE,TRUE
mobilenet_v2,torch_hub,MobileNetV2,3504872,a81033ae,-,-,1,0.0002819424495,0.373603,48.47553627,TRUE,TRUE,TRUE
mobilenet_v3_large,torch_hub,MobileNetV3,5483032,777649,-,-,1,0.0002703397628,0.548751,-,TRUE,TRUE,TRUE
mobilenet_v3_small,torch_hub,MobileNetV3,2542856,e7fae853,-,-,1,0.000242175078,0.470504,-,TRUE,TRUE,TRUE
mobilevit,huggingface_pytorch,MobileViTModel,4937632,47b02614,-,-,1,-,1.03145,36.66993843,TRUE,TRUE,TRUE
mobilevit_small_for_semantic_segmentation,huggingface_pytorch,MobileViTForSemanticSegmentation,6357941,5621d1d8,-,-,1,-,1.10371,-,TRUE,TRUE,TRUE
mobilevit_x_small_for_semantic_segmentation,huggingface_pytorch,MobileViTForSemanticSegmentation,2944069,f9f29c8e,-,-,1,0.4295147778,1.02018,-,TRUE,TRUE,TRUE
mobilevit_xx_small_for_semantic_segmentation,huggingface_pytorch,MobileViTForSemanticSegmentation,1854853,535af098,-,-,1,0.000658097011,1.01153,-,TRUE,TRUE,TRUE
mpnet,huggingface_pytorch,MPNetModel,109484928,747bb620,-,-,4,1.282581333,1.24075,163.8492314,TRUE,TRUE,TRUE
mt5_base,huggingface_pytorch,MT5Model,390315264,6a56180f,-,-,8,-,3.69734,398.8391437,TRUE,TRUE,TRUE
mt5_encoder,huggingface_pytorch,MT5EncoderModel,146940608,760f744b,-,-,4,-,0.522725,41.38822873,TRUE,TRUE,TRUE
mt5_small,huggingface_pytorch,MT5Model,172119424,9625f18b,-,-,4,-,2.01351,105.7699083,TRUE,TRUE,TRUE
openai_doublehead,huggingface_pytorch,OpenAIGPTDoubleHeadsModel,116535553,a4df98ec,-,-,4,-,1.89682,216.6575886,TRUE,TRUE,TRUE
pegasus,huggingface_pytorch,PegasusModel,404190208,b92cca23,-,-,16,-,-,677.6857938,TRUE,TRUE,TRUE
perceiver,huggingface_pytorch,PerceiverModel,259897728,a4732115,-,-,8,-,2.4525,500.2269234,TRUE,TRUE,TRUE
poolformer,huggingface_pytorch,PoolFormerModel,11401152,a8cfe755,-,-,1,0.5050124444,1.65716,30.19431214,TRUE,TRUE,TRUE
rag,huggingface_pytorch,RagModel,515183104,7e502070,-,-,16,-,5.56016,728.6171912,TRUE,TRUE,TRUE
realm,huggingface_pytorch,RealmEmbedder,133644474,d9107239,-,-,4,0.9555982222,0.879974,151.9669503,TRUE,TRUE,TRUE
regnet_x_16gf,torch_hub,RegNet,54278536,90fe350f,-,-,2,-,0.832521,-,TRUE,TRUE,TRUE
regnet_x_1_6gf,torch_hub,RegNet,9190136,9b6af29e,-,-,1,-,0.63147,-,TRUE,TRUE,TRUE
regnet_x_32gf,torch_hub,RegNet,107811560,2.49E+08,-,-,4,-,1.16822,-,TRUE,TRUE,TRUE
regnet_x_3_2gf,torch_hub,RegNet,15296552,731da922,-,-,1,-,0.74348,-,TRUE,TRUE,TRUE
regnet_x_400mf,torch_hub,RegNet,5495976,08b8712e,-,-,1,-,0.560313,-,TRUE,TRUE,TRUE
regnet_x_800mf,torch_hub,RegNet,7259656,1e12c62e,-,-,1,-,0.449153,-,TRUE,TRUE,TRUE
regnet_x_8gf,torch_hub,RegNet,39572648,26bfacd7,-,-,1,-,0.814987,-,TRUE,TRUE,TRUE
regnet_y_128gf,torch_hub,RegNet,644812894,a2a92eba,-,-,16,-,3.9092,-,TRUE,TRUE,TRUE
regnet_y_16gf,torch_hub,RegNet,83590140,a44f744c,-,-,2,-,1.24068,-,TRUE,TRUE,TRUE
regnet_y_1_6gf,torch_hub,RegNet,11202430,993181bc,-,-,1,-,1.39841,-,TRUE,TRUE,TRUE
regnet_y_32gf,torch_hub,RegNet,145046770,16e3920e,-,-,4,-,1.64528,-,TRUE,TRUE,TRUE
regnet_y_3_2gf,torch_hub,RegNet,19436338,a06a50b4,-,-,1,-,1.21257,-,TRUE,TRUE,TRUE
regnet_y_400mf,torch_hub,RegNet,4344144,74d9ef17,-,-,1,-,0.735374,-,TRUE,TRUE,TRUE
regnet_y_800mf,torch_hub,RegNet,6432512,efe4b887,-,-,1,-,0.685819,-,TRUE,TRUE,TRUE
regnet_y_8gf,torch_hub,RegNet,39381472,0c98c39d,-,-,1,-,1.07528,-,TRUE,TRUE,TRUE
rembert,huggingface_pytorch,RemBertModel,575920384,1a69d8de,-,-,16,-,2.72838,869.6272548,TRUE,TRUE,TRUE
resnet101,torch_hub,ResNet,44549160,285cd579,-,-,1,0.3266062222,1.14607,-,TRUE,TRUE,TRUE
resnet152,torch_hub,ResNet,60192808,c732f780,-,-,2,0.670714,1.6622,-,TRUE,TRUE,TRUE
resnet18,torch_hub,ResNet,11689512,11f0e9e3,-,-,1,0.0002127070306,0.316588,-,TRUE,TRUE,TRUE
resnet34,torch_hub,ResNet,21797672,85df0c4a,-,-,1,0.0003668817412,0.538718,-,TRUE,TRUE,TRUE
resnet50,torch_hub,ResNet,25557032,3ba0a685,-,-,1,0.0004005294526,0.619851,-,TRUE,TRUE,TRUE
resnext101_32x8d,torch_hub,ResNet,88791336,0b88b3d8,-,-,2,0.0005437766202,1.15416,-,TRUE,TRUE,TRUE
resnext50_32x4d,torch_hub,ResNet,25028904,ce6f3fb8,-,-,1,-,0.556153,-,TRUE,TRUE,TRUE
retinanet_resnet50_fpn,torchvision,RetinaNet,33792599,7cc11439,-,-,-,-,-,-,TRUE,TRUE,FALSE
retinanet_resnet50_fpn_v2,torchvision,RetinaNet,38198935,20403119,-,-,-,-,-,-,TRUE,TRUE,FALSE
retribert,huggingface_pytorch,RetriBertModel,81327360,4c3ee101,-,-,2,0.001721250121,0.79137,128.8894266,TRUE,TRUE,TRUE
roberta,huggingface_pytorch,RobertaModel,109482240,f75bf095,-,-,4,1.288656889,1.23566,159.7123465,TRUE,TRUE,TRUE
roformer,huggingface_pytorch,RoFormerModel,123457536,a48eefbd,-,-,4,-,1.15548,164.1602211,TRUE,TRUE,TRUE
segformer,huggingface_pytorch,SegformerModel,3319392,28a23805,-,-,1,0.0005958049232,1.74117,24.09771079,TRUE,TRUE,TRUE
shufflenet_v2_x0_5,torch_hub,ShuffleNetV2,1366792,15046a84,-,-,1,0.0003165139118,0.471797,-,TRUE,TRUE,TRUE
shufflenet_v2_x1_0,torch_hub,ShuffleNetV2,2278604,81185b92,-,-,1,0.0006108343229,0.603684,-,TRUE,TRUE,TRUE
shufflenet_v2_x1_5,torch_hub,ShuffleNetV2,3503624,51805568,-,-,1,0.001029876783,0.615799,-,TRUE,TRUE,TRUE
shufflenet_v2_x2_0,torch_hub,ShuffleNetV2,7393996,670c36ac,-,-,1,0.0016235408,0.633914,-,TRUE,TRUE,TRUE
speech_to_text,huggingface_pytorch,Speech2TextModel,29536256,fc9ef5d8,-,-,1,0.3131224444,2.00539,-,TRUE,TRUE,TRUE
splinter,huggingface_pytorch,SplinterModel,108891648,d8703a6e,-,-,4,0.9694862222,0.872433,155.3527095,TRUE,TRUE,TRUE
squeezebert,huggingface_pytorch,SqueezeBertModel,51089664,c54b2d76,-,-,2,-,5.54191,67.58307225,TRUE,TRUE,TRUE
squeezenet1_0,torch_hub,SqueezeNet,1248424,8b319b5b,-,-,1,0.0002307066415,0.275701,-,TRUE,TRUE,TRUE
squeezenet1_1,torch_hub,SqueezeNet,1235496,db09563d,-,-,1,0.0001603295235,0.2521,-,TRUE,TRUE,TRUE
ssd300_vgg16,torchvision,SSD,35603106,7940cda0,-,-,-,-,-,-,TRUE,TRUE,TRUE
ssd300_vgg16,torchvision,SSDFeatureExtractorVGG,22905216,ba239042,-,-,1,-,0.897795,-,TRUE,TRUE,TRUE
ssdlite320_mobilenet_v3_large,torchvision,SSDLiteFeatureExtractorMobileNet,3546992,0b96e723,-,-,1,0.000836054408,0.753265,-,TRUE,TRUE,TRUE
ssdlite320_mobilenet_v3_large,torchvision,SSD,5198540,cb077411,-,-,-,-,-,-,TRUE,TRUE,TRUE
swin_b,torch_hub,SwinTransformer,87768224,f0e93177,-,-,2,-,2.63961,223.2945901,TRUE,TRUE,TRUE
swin_s,torch_hub,SwinTransformer,49606258,cc85d49e,-,-,2,-,2.21614,151.3520009,TRUE,TRUE,TRUE
swin_t,torch_hub,SwinTransformer,28288354,89de9245,-,-,1,0.001319061839,1.18987,86.26119384,TRUE,TRUE,TRUE
t5_base,huggingface_pytorch,T5ForConditionalGeneration,247577856,ba7c8360,-,-,8,-,4.38483,-,TRUE,TRUE,TRUE
t5_encoder,huggingface_pytorch,T5EncoderModel,35330816,0559914f,-,-,1,0.1600937778,0.374884,-,TRUE,TRUE,TRUE
t5_large,huggingface_pytorch,T5ForConditionalGeneration,770567168,47d226ef,-,-,16,-,8.71861,-,TRUE,TRUE,TRUE
t5_small,huggingface_pytorch,T5ForConditionalGeneration,76956160,6f1dd5bb,-,-,2,-,2.2482,-,TRUE,TRUE,TRUE
unet,torch_hub,UNet,7763041,a76ab7f4,-,-,1,0.001018087659,0.401556,-,TRUE,TRUE,TRUE
vgg11,torch_hub,VGG,132863336,b38617af,-,-,4,-,0.445504,-,TRUE,TRUE,TRUE
vgg11_bn,torch_hub,VGG,132868840,8550040,-,-,4,-,0.448629,-,TRUE,TRUE,TRUE
vgg13,torch_hub,VGG,133047848,20ce33fd,-,-,4,-,0.494416,-,TRUE,TRUE,TRUE
vgg13_bn,torch_hub,VGG,133053736,20dffe7e,-,-,4,-,0.495352,-,TRUE,TRUE,TRUE
vgg16,torch_hub,VGG,138357544,b628f277,-,-,4,-,0.571315,-,TRUE,TRUE,TRUE
vgg16_bn,torch_hub,VGG,138365992,8e2b426b,-,-,4,-,0.570784,-,TRUE,TRUE,TRUE
vgg19_bn,torch_hub,VGG,143678248,bc2392e4,-,-,4,-,0.644274,-,TRUE,TRUE,TRUE
vgg19,torch_hub,VGG,143667240,d889f054,-,-,4,-,0.637641,-,TRUE,TRUE,TRUE
vit,huggingface_pytorch,ViTModel,86389248,993623dd,-,-,2,0.001461173203,1.22047,172.634284,TRUE,TRUE,TRUE
vit_b_16,torch_hub,VisionTransformer,86567656,dd47dfd6,-,-,2,-,1.35681,171.1720356,TRUE,TRUE,TRUE
vit_b_32,torch_hub,VisionTransformer,88224232,48d88bc1,-,-,2,0.3494673333,1.21338,137.9123529,TRUE,TRUE,TRUE
vit_h_14,torch_hub,VisionTransformer,632045800,c682724f,-,-,16,-,5.71148,1293.136641,TRUE,TRUE,TRUE
vit_l_16,torch_hub,VisionTransformer,304326632,44b6c5a5,-,-,8,-,3.23453,624.810244,TRUE,TRUE,TRUE
vit_l_32,torch_hub,VisionTransformer,306535400,f137eddc,-,-,8,1.950049556,2.33296,532.3608386,TRUE,TRUE,TRUE
wide_resnet101_2,torch_hub,ResNet,126886696,0eb07645,-,-,4,-,1.51104,-,TRUE,TRUE,TRUE
wide_resnet50_2,torch_hub,ResNet,68883240,fd743f94,-,-,2,-,0.788305,-,TRUE,TRUE,TRUE
xglm,huggingface_pytorch,XGLMModel,564463616,41f01198,-,-,16,-,3.8856,526.8807933,TRUE,TRUE,TRUE
xlm,huggingface_pytorch,XLMModel,667088896,6918ed2c,-,-,16,-,1.99917,960.5467004,TRUE,TRUE,TRUE
xlm_roberta,huggingface_pytorch,XLMRobertaModel,109482240,a0532c05,-,-,4,1.288656889,1.21985,168.1458528,TRUE,TRUE,TRUE
xlnet,huggingface_pytorch,XLNetModel,360268800,5cfcb429,-,-,8,-,3.10489,704.7841554,TRUE,TRUE,TRUE
yolos_tiny_for_object_detection,huggingface_pytorch,YolosForObjectDetection,6488736,8f6a6a55,-,-,1,-,0.913931,-,TRUE,TRUE,TRUE
midas_v3_hybrid,torch_hub,DPTDepthModel,123146985,6d674cb2,-,-,-,-,-,-,TRUE,TRUE,TRUE
midas_v3_hybrid,torch_hub,ResNetV2,11894848,8cf28e2f,-,-,-,-,2.90256,-,TRUE,TRUE,TRUE
midas_v3_large,torch_hub,DPTDepthModel,344055465,f2b11234,-,-,-,-,-,-,TRUE,TRUE,TRUE