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DoyyingFace/bert-asian-hate-tweets-asian-unclean-slanted
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
2023-04-13T02:17:33Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_medium_24_p8_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model...
[ -0.00490416819229722, -0.027677418664097786, -0.0005141169531270862, 0.022453540936112404, 0.03166884183883667, 0.004730449058115482, -0.008538416586816311, 0.004970959387719631, -0.00021378717792686075, 0.05515291541814804, 0.02874535322189331, -0.009877256117761135, -0.0034696413204073906,...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_medium_24_p16_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Mode...
[ -0.006114763207733631, -0.027812814339995384, -0.001279435120522976, 0.023117396980524063, 0.03298693522810936, 0.004526694305241108, -0.01030303817242384, 0.005566546693444252, 0.00048080080887302756, 0.056963000446558, 0.030512351542711258, -0.0081236083060503, -0.002123419428244233, 0.0...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_medium_24_p16_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classif...
[ -0.006072890479117632, -0.02713743969798088, -0.0008113783551380038, 0.024705154821276665, 0.03021419420838356, 0.0038846160750836134, -0.010074341669678688, 0.0045509361661970615, -0.0012708527501672506, 0.05775710940361023, 0.029450559988617897, -0.00936046987771988, -0.0014904472045600414...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_medium_24_p16_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Mode...
[ -0.005792967043817043, -0.027772413566708565, -0.0006613859441131353, 0.021776195615530014, 0.031693391501903534, 0.003636674489825964, -0.008776355534791946, 0.005994479171931744, -0.0003628391423262656, 0.055154308676719666, 0.028817681595683098, -0.009431429207324982, -0.00360943051055073...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- language: - en - multilingual - de - it - es - fr tags: - instruction-tuning - text-generation-inference - text2text-generation widget: - text: Write an essay about meditation. [EOI] example_title: Essay Generation - text: Give me 5 steps to clean my room. [EOI] example_title: How-to Instructions - text: How ar...
[ 0.012159780599176884, -0.007046700920909643, 0.01370979007333517, 0.027027882635593414, 0.041899148374795914, 0.027240656316280365, -0.005235753022134304, -0.016970032826066017, -0.02624441497027874, 0.05155068263411522, 0.057899728417396545, 0.002729622879996896, -0.012174650095403194, 0....
DoyyingFace/bert-asian-hate-tweets-asonam-clean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.005107040982693434, 0.0033139181323349476, -0.022128580138087273, 0.015677286311984062, 0.05760536342859268, -0.027720242738723755, 0.009315776638686657, -0.031249934807419777, -0.029963750392198563, 0.06869877129793167, 0.02343066781759262, -0.031137192621827126, -0.003968191333115101, ...
DoyyingFace/bert-asian-hate-tweets-asonam-unclean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_nano_12_p8_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model T...
[ -0.012888508848845959, -0.02840818278491497, 0.002151911612600088, 0.020107809454202652, 0.03132801875472069, 0.004542859271168709, -0.01059842947870493, -0.0007191197364591062, -0.0010280963033437729, 0.05118386447429657, 0.034463368356227875, 0.002161572687327862, 0.001639269758015871, 0...
DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
null
--- license: other tags: - generated_from_trainer model-index: - name: outputs results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # outputs This model is a fine-tu...
[ -0.028927214443683624, -0.007037444040179253, -0.0199641864746809, 0.04333348572254181, 0.0272115096449852, 0.03798651322722435, -0.015373668633401394, -0.002478408394381404, -0.0351833775639534, 0.061249714344739914, 0.054944053292274475, -0.007466233801096678, 0.00802876241505146, 0.0263...
DoyyingFace/bert-asian-hate-tweets-concat-clean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_nano_12_p8_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classifica...
[ -0.011155393905937672, -0.027777336537837982, 0.0027519369032233953, 0.02198788709938526, 0.029592933133244514, 0.005343395750969648, -0.010475202463567257, -0.002021016785874963, -0.002745530568063259, 0.05228107422590256, 0.03320988640189171, -0.00006399675476131961, 0.0020844070240855217,...
albert-base-v1
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
38,156
2023-04-13T02:22:38Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_nano_12_p8_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model T...
[ -0.012044667266309261, -0.0284076239913702, 0.0027238402981311083, 0.01796780712902546, 0.030419988557696342, 0.003510340815410018, -0.008964473381638527, -0.0006813482032157481, -0.0017048168228939176, 0.04964112117886543, 0.032468538731336594, 0.0008614934631623328, 0.00019291475473437458,...
albert-base-v2
[ "pytorch", "tf", "jax", "rust", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
4,785,283
2023-04-13T02:22:42Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_nano_12_p16_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.011849554255604744, -0.028182413429021835, 0.00152250484097749, 0.019704028964042664, 0.03074811026453972, 0.0038961595855653286, -0.010132488794624805, -0.0001939069334184751, -0.0015560180181637406, 0.050853993743658066, 0.0336214080452919, 0.0015341598773375154, 0.001197028555907309, ...
albert-large-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
687
2023-04-13T02:22:47Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_nano_12_p16_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classific...
[ -0.010284333489835262, -0.027423158288002014, 0.0019916316960006952, 0.021908560767769814, 0.02899859845638275, 0.004488942679017782, -0.010172332637012005, -0.001440811320208013, -0.0033284323289990425, 0.05200466886162758, 0.0324857123196125, -0.000555659004021436, 0.001633486826904118, ...
albert-large-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
26,792
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_nano_12_p16_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.01173101831227541, -0.028672445565462112, 0.0028206887654960155, 0.017652811482548714, 0.03106062114238739, 0.00328446296043694, -0.008578703738749027, 0.00034798908745869994, -0.0015877531841397285, 0.05005348101258278, 0.03310750052332878, 0.001887486781924963, 0.00045790820149704814, ...
albert-xlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
341
2023-04-13T02:22:59Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_12_p8_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.0058264462277293205, -0.029111109673976898, -0.0009461709996685386, 0.023565996438264847, 0.03166999667882919, 0.004712910857051611, -0.010941884480416775, 0.004581854213029146, 0.0005833645118400455, 0.057258300483226776, 0.030647004023194313, -0.00759908277541399, -0.001468583708629012,...
albert-xlarge-v2
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
2,973
2023-04-13T02:23:21Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_12_p8_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classific...
[ -0.005885872058570385, -0.02731192484498024, 0.0009184900554828346, 0.0248268935829401, 0.02902947925031185, 0.003996400162577629, -0.011551079340279102, 0.0029242951422929764, -0.0007051500142551959, 0.05808158218860626, 0.029796814545989037, -0.008585703559219837, -0.0009262969833798707, ...
albert-xxlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
7,091
2023-04-13T02:23:54Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_12_p8_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.005328421480953693, -0.028337018564343452, 0.0012128439266234636, 0.020680686458945274, 0.030357178300619125, 0.004107651300728321, -0.009911421686410904, 0.0032812929712235928, 0.00024603071506135166, 0.05612332746386528, 0.02955867536365986, -0.009528819471597672, -0.0033669942058622837...
albert-xxlarge-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
42,640
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_12_p16_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model...
[ -0.005025775171816349, -0.029259586706757545, -0.0014517633244395256, 0.023246610537171364, 0.03208572044968605, 0.003051730804145336, -0.01118133682757616, 0.0050363014452159405, 0.0001990186283364892, 0.057299818843603134, 0.03075440227985382, -0.008242630399763584, -0.002524517010897398, ...
bert-base-cased-finetuned-mrpc
[ "pytorch", "tf", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11,644
2023-04-13T02:24:56Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_12_p16_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classifi...
[ -0.005400261376053095, -0.027536144480109215, 0.0003743585548363626, 0.024479364976286888, 0.029527466744184494, 0.0027922620065510273, -0.011827857233583927, 0.003436956088989973, -0.0009592374553903937, 0.05820658430457115, 0.03006022796034813, -0.009051891043782234, -0.0016864275094121695...
bert-base-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8,621,271
2023-04-13T02:25:01Z
--- license: afl-3.0 language: - en metrics: - accuracy library_name: transformers pipeline_tag: text-classification --- ## Name Vishwa Patel ## Project Toxic Comment Classification ## Model description This model is a fine-tuned version of the [bert-base-uncased](https://huggingface.co/transformers/model_doc/bert.h...
[ -0.013700220733880997, -0.002597057493403554, 0.01148272305727005, 0.0453655980527401, 0.025125518441200256, 0.032138530164957047, -0.02781994268298149, 0.008615546859800816, -0.012700434774160385, 0.029844090342521667, 0.04137438163161278, 0.009851712733507156, 0.013031449168920517, 0.030...
bert-base-chinese
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "zh", "arxiv:1810.04805", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3,377,486
2023-04-13T02:25:31Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_12_p16_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model...
[ -0.004943245090544224, -0.029066888615489006, -0.000011445836207713, 0.02032630518078804, 0.0312346164137125, 0.001694840844720602, -0.00872331764549017, 0.005224199034273624, -0.00018406454182695597, 0.05613507330417633, 0.028711039572954178, -0.009287690743803978, -0.004596218466758728, ...
bert-base-german-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "exbert", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
175,983
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_24_p8_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.0060698240995407104, -0.02852380834519863, -0.0010244250297546387, 0.022334309294819832, 0.03076990507543087, 0.005007513333112001, -0.010486504063010216, 0.004224504344165325, 0.0010868811514228582, 0.057140644639730453, 0.03049601800739765, -0.007850480265915394, -0.001854530069977045, ...
bert-base-german-dbmdz-cased
[ "pytorch", "jax", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,814
2023-04-13T02:26:50Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_24_p8_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classific...
[ -0.006270202342420816, -0.027585390955209732, -0.00011750496923923492, 0.023869678378105164, 0.027884017676115036, 0.003863090882077813, -0.010406185872852802, 0.003252191236242652, -0.0007877947064116597, 0.05819650739431381, 0.029422909021377563, -0.009015343151986599, -0.00129816471599042...
bert-base-german-dbmdz-uncased
[ "pytorch", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
68,305
2023-04-13T02:27:25Z
--- language: - en - multilingual - de - it - es - fr tags: - instruction-tuning - text-generation-inference - text2text-generation widget: - text: Write an essay about meditation. example_title: Essay Generation - text: Give me 5 steps to clean my room. example_title: How-to Instructions - text: How are the contin...
[ 0.02063114196062088, -0.0093053774908185, 0.007294716779142618, 0.03595486283302307, 0.04526178166270256, 0.03096892312169075, -0.014737100340425968, -0.021234944462776184, -0.02152213640511036, 0.05349930375814438, 0.06158847361803055, 0.005214597564190626, -0.01799870654940605, 0.0254187...
bert-base-multilingual-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4,749,504
2023-04-13T02:27:41Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_24_p8_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.005342133343219757, -0.028804302215576172, 0.0003232003946322948, 0.020702164620161057, 0.03011893853545189, 0.003944725729525089, -0.008813981898128986, 0.0045160334557294846, 0.0001794261479517445, 0.05562884360551834, 0.028852252289652824, -0.009320201352238655, -0.003745919093489647, ...
bert-base-multilingual-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
328,585
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_24_p16_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model...
[ -0.005513804964721203, -0.029546942561864853, -0.001596009940840304, 0.02237892337143421, 0.03179416060447693, 0.0031774768140167, -0.010539661161601543, 0.005131605546921492, 0.00035428820410743356, 0.05761021375656128, 0.030720094218850136, -0.007710752077400684, -0.002841726876795292, 0...
bert-base-uncased
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
59,663,489
2023-04-13T02:29:23Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_24_p16_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classifi...
[ -0.006023594178259373, -0.028002627193927765, -0.0003405617317184806, 0.024086032062768936, 0.02901286818087101, 0.002766180317848921, -0.011005532927811146, 0.004030258860439062, -0.0012603086652234197, 0.058441754430532455, 0.029842810705304146, -0.008748045191168785, -0.002214834094047546...
bert-large-cased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8,214
2023-04-13T02:30:05Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_small_24_p16_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model...
[ -0.005454360041767359, -0.029039956629276276, 0.000021955827833153307, 0.02056705579161644, 0.030271237716078758, 0.0018331467872485518, -0.008521809242665768, 0.0054161883890628815, -0.0003572748100850731, 0.056014832109212875, 0.028529860079288483, -0.00927354022860527, -0.0046523911878466...
bert-large-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
388,769
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_tiny_12_p8_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model T...
[ -0.008199324831366539, -0.027111660689115524, 0.0005737484898418188, 0.02299375645816326, 0.029833553358912468, 0.0036341771483421326, -0.011836203746497631, 0.0034304149448871613, 0.0013605488929897547, 0.056339412927627563, 0.03065083734691143, -0.007235422730445862, -0.0011064477730542421...
bert-large-uncased-whole-word-masking
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
76,685
2023-04-13T02:30:58Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_tiny_12_p8_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classifica...
[ -0.006487744860351086, -0.026443304494023323, 0.0008551987120881677, 0.02545374073088169, 0.028852226212620735, 0.004341674502938986, -0.011707649566233158, 0.001553951995447278, -0.0007267081527970731, 0.057196810841560364, 0.030524063855409622, -0.009272364899516106, -0.0006995558505877852...
bert-large-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,058,496
2023-04-13T02:31:06Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_tiny_12_p8_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model T...
[ -0.005994854960590601, -0.027930205687880516, 0.00040461577009409666, 0.022575849667191505, 0.030865944921970367, 0.003233441384509206, -0.009358374401926994, 0.0037760448176413774, -0.0000745037614251487, 0.05459959805011749, 0.030455056577920914, -0.008657975122332573, -0.00384810799732804...
camembert-base
[ "pytorch", "tf", "safetensors", "camembert", "fill-mask", "fr", "dataset:oscar", "arxiv:1911.03894", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "CamembertForMaskedLM" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_...
1,440,898
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_tiny_12_p16_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.007344692014157772, -0.02715560607612133, 0.0002256107545690611, 0.022763509303331375, 0.030262352898716927, 0.00286861346103251, -0.011951395310461521, 0.0033451418858021498, 0.0011570482747629285, 0.0566982701420784, 0.030702734366059303, -0.007564648054540157, -0.0018085538176819682, ...
ctrl
[ "pytorch", "tf", "ctrl", "en", "arxiv:1909.05858", "arxiv:1910.09700", "transformers", "license:bsd-3-clause", "has_space" ]
null
{ "architectures": null, "model_type": "ctrl", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
17,007
2023-04-13T02:31:22Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_tiny_12_p16_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classific...
[ -0.006028598174452782, -0.026761546730995178, 0.0005932269268669188, 0.02519606426358223, 0.028933130204677582, 0.003470534458756447, -0.012120702303946018, 0.0019053606083616614, -0.001079888897947967, 0.0576493963599205, 0.03010457381606102, -0.009622144512832165, -0.0014619939029216766, ...
distilbert-base-cased-distilled-squad
[ "pytorch", "tf", "rust", "safetensors", "openvino", "distilbert", "question-answering", "en", "dataset:squad", "arxiv:1910.01108", "arxiv:1910.09700", "transformers", "license:apache-2.0", "model-index", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
257,745
2023-04-13T02:31:29Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_tiny_12_p16_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.007357169408351183, -0.02736826054751873, 0.00124882603995502, 0.021013900637626648, 0.029710102826356888, 0.001571086933836341, -0.009968889877200127, 0.0036117439158260822, 0.00037011518725194037, 0.054998453706502914, 0.02903658337891102, -0.008405892178416252, -0.003063584677875042, ...
distilbert-base-cased
[ "pytorch", "tf", "onnx", "distilbert", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1910.01108", "transformers", "license:apache-2.0", "has_space" ]
null
{ "architectures": null, "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "n...
574,859
2023-04-13T02:31:37Z
--- tags: - autotrain - text-classification language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - Muhsabrys/autotrain-data-iuexist_twhin co2_eq_emissions: emissions: 1.410217361850194 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 49038118649 - CO2 Emissions (...
[ -0.02336382307112217, -0.026250066235661507, -0.012339803390204906, 0.034821540117263794, 0.034982506185770035, 0.03586108237504959, -0.03382526710629463, -0.012713253498077393, -0.04187161847949028, 0.07891722023487091, 0.023305706679821014, 0.020082801580429077, -0.0025521437637507915, 0...
distilbert-base-german-cased
[ "pytorch", "safetensors", "distilbert", "fill-mask", "de", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
43,667
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_tiny_24_p8_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model T...
[ -0.008231181651353836, -0.026812471449375153, -0.0003222577797714621, 0.023018229752779007, 0.030254844576120377, 0.003176359925419092, -0.010967889800667763, 0.0036217248998582363, 0.001386996591463685, 0.05646596476435661, 0.030916178598999977, -0.0067971148528158665, -0.001532942522317171...
distilbert-base-multilingual-cased
[ "pytorch", "tf", "onnx", "safetensors", "distilbert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", ...
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
8,339,633
2023-04-13T02:31:49Z
--- tags: - autotrain - text-classification language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - Muhsabrys/autotrain-data-iuexist_twhin co2_eq_emissions: emissions: 1.1300077429613722 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 49038118652 - CO2 Emissions ...
[ -0.022937726229429245, -0.026225417852401733, -0.011820764280855656, 0.03538993373513222, 0.03591851145029068, 0.03624782711267471, -0.03361045941710472, -0.011914361268281937, -0.04106981307268143, 0.07940240204334259, 0.02344772033393383, 0.019795900210738182, -0.0025782077573239803, 0.0...
distilbert-base-uncased
[ "pytorch", "tf", "jax", "rust", "safetensors", "distilbert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1910.01108", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
10,887,471
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_tiny_24_p16_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.0073915207758545876, -0.027296187356114388, -0.0006450861692428589, 0.022646058350801468, 0.0310245119035244, 0.0025362991727888584, -0.011200066655874252, 0.0043113948777318, 0.0010484844679012895, 0.05645836889743805, 0.03127288445830345, -0.006616631057113409, -0.0019314761739224195, ...
AKulk/wav2vec2-base-timit-demo-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-13T06:06:42Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: opus-mt-en-es-finetuned-es-to-ngu results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this c...
[ -0.012456833384931087, -0.004100445657968521, 0.010810678824782372, 0.027023686096072197, 0.03270653262734413, 0.00651957094669342, -0.0006283885450102389, -0.012192480266094208, -0.029079260304570198, 0.04028014466166496, 0.008457621559500694, -0.026349026709794998, 0.013086418621242046, ...
ATGdev/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
2023-04-13T06:58:59Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: opus-mt-en-es-finetuned-es-to-cbv results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this c...
[ -0.011592618189752102, 0.0005698545137420297, 0.01057759765535593, 0.0245295912027359, 0.030436936765909195, 0.0011100511765107512, -0.002517205895856023, -0.00764446472749114, -0.027871713042259216, 0.039789143949747086, 0.007105349563062191, -0.023676514625549316, 0.013093305751681328, 0...
AethiQs-Max/cross_encoder
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilgpt2-finetuned-wikitext2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # dist...
[ -0.01560954563319683, -0.021854473277926445, -0.024987122043967247, 0.01666766218841076, 0.03917562961578369, 0.01847235858440399, -0.012756719253957272, -0.005096264183521271, -0.04397496581077576, 0.06415636092424393, 0.034613076597452164, 0.0011494384380057454, 0.014941144734621048, 0.0...
Ajteks/Chatbot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
<h2 style="text-align: left;"><span style="color: #38761d;"><strong><a href="https://sale365day.com/buy-nuvei-skin-tag-remover">Nuvei Skin Tag Remover</a></strong></span></h2> <p><strong><span style="color: #cc0000;">&bull; Product Name - <a href="https://sale365day.com/buy-nuvei-skin-tag-remover">Nuvei Skin Tag Remove...
[ 0.01070351805537939, -0.017771903425455093, 0.022735856473445892, -0.031112458556890488, 0.01352106686681509, 0.011020409874618053, -0.03240295127034187, 0.008404250256717205, -0.012358780018985271, 0.05536329001188278, 0.020238449797034264, 0.00027963376487605274, 0.037322767078876495, 0....
Akaramhuggingface/News
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartpole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.031283747404813766, 0.018860220909118652, 0.0027059598360210657, 0.008782978169620037, 0.04505237564444542, -0.02086283452808857, -0.023533865809440613, -0.019078226760029793, -0.03300941362977028, 0.0851067304611206, 0.01999599300324917, -0.011433588340878487, 0.016772005707025528, 0.0...
Akash7897/fill_mask_model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: t5-base-abstract-to-plain-language-1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove th...
[ -0.014689038507640362, -0.015144679695367813, -0.0001951906451722607, 0.03154172748327255, 0.04071511700749397, 0.004084911197423935, -0.0300368070602417, -0.016576368361711502, -0.03245735168457031, 0.0379713773727417, 0.01941705495119095, -0.0355239175260067, -0.006619774270802736, 0.032...
Akash7897/gpt2-wikitext2
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- tags: - CartPole-v1 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: ...
[ -0.007056178990751505, -0.011011620983481407, -0.02597656473517418, 0.019168851897120476, 0.05424608662724495, -0.0015334892086684704, 0.0025044765789061785, -0.015694085508584976, -0.035845719277858734, 0.07065654546022415, -0.006256969645619392, -0.02454964816570282, -0.009952929802238941,...
Akashpb13/xlsr_kurmanji_kurdish
[ "pytorch", "safetensors", "wav2vec2", "automatic-speech-recognition", "kmr", "ku", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-...
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
10
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --...
[ -0.024234596639871597, -0.0026037159841507673, -0.03178867697715759, 0.04184187203645706, 0.04989636316895485, 0.022783881053328514, -0.028925422579050064, -0.008748868480324745, -0.03755401819944382, 0.047836367040872574, 0.03731951117515564, -0.024126339703798294, 0.014707748778164387, 0...
Akashpb13/xlsr_maltese_wav2vec2
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "mt", "dataset:common_voice", "transformers", "audio", "speech", "xlsr-fine-tuning-week", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
8
null
--- language: - en --- V1 of an English/code tokenizer. Byte-level BPE, 64k vocab, split digits (the difference with v1). Equal mix between: On the NL side: - Books - C4 - v1 of our CC (helen quality classifier) - enwiki - Gutenberg - Reddit On the code side: - Jupyter notebooks (0.5 weight, it was small) - GH issues...
[ -0.009466491639614105, -0.011587940156459808, -0.007295392453670502, 0.026101192459464073, 0.04068348556756973, 0.021162958815693855, 0.005545319523662329, 0.0059055848978459835, -0.03771179914474487, 0.038458507508039474, 0.020198987796902657, 0.013241749256849289, 0.008845857344567776, 0...
Aklily/Lilys
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037604279816150665, -0.0024778370279818773, -0.00522608682513237, 0.025289317592978477, 0.045196305960416794, -0.02210940606892109, -0.005154380574822426, -0.027913354337215424, -0.03311958909034729, 0.06646755337715149, 0.032406143844127655, -0.02363465540111065, 0.022731490433216095, ...
AkshaySg/gramCorrection
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-synthesized-turkish-2-hour-hlr results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove th...
[ -0.020404132083058357, -0.004197785630822182, -0.00776010612025857, 0.038360271602869034, 0.032276805490255356, 0.010505720973014832, -0.0010561714880168438, 0.011090634390711784, -0.024163153022527695, 0.081357941031456, 0.030546899884939194, -0.034844063222408295, -0.004615796264261007, ...
Akuva2001/SocialGraph
[ "has_space" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-13T13:15:51Z
--- library_name: keras --- ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Model Plot <details> <summary>View Model Plot</summary> ![Model Image](./model.png) </details>
[ -0.032183900475502014, -0.03589292988181114, 0.004278294742107391, 0.019105199724435806, 0.02931179478764534, -0.005457812920212746, -0.012205679900944233, -0.011269200593233109, -0.039407022297382355, 0.04582240805029869, 0.010003100149333477, -0.0066065737046301365, 0.025722166523337364, ...
Alaeddin/convbert-base-turkish-ner-cased
[ "pytorch", "convbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "ConvBertForTokenClassification" ], "model_type": "convbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
9
null
--- language: - de tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: whisper-fine-tuned-de_learn results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: Common V...
[ -0.03293292224407196, -0.01054761279374361, -0.00826106034219265, 0.038886912167072296, 0.04235759377479553, 0.026643788442015648, -0.02145109325647354, -0.004671408329159021, -0.031810496002435684, 0.07303813099861145, 0.03886006027460098, -0.029178081080317497, 0.009693368338048458, 0.02...
AlanDev/dall-e-better
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 - accuracy model-index: - name: my-test-model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.014930968172848225, -0.004285525064915419, -0.015300769358873367, 0.03188382834196091, 0.03769557923078537, 0.006686696317046881, -0.01585034467279911, -0.028154311701655388, -0.04517144709825516, 0.05315805599093437, -0.0014701586915180087, -0.03049003705382347, 0.01920516975224018, 0....
Aleksandar/bert-srb-base-cased-oscar
[ "pytorch", "bert", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-04-13T13:36:20Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: t5-base-finetuned-es-to-maq results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment...
[ -0.018219929188489914, 0.004039233550429344, 0.007579900324344635, 0.024394622072577477, 0.022678103297948837, 0.002573062665760517, -0.02679343707859516, -0.004607785493135452, -0.029938068240880966, 0.03301117941737175, 0.01112288422882557, -0.035721808671951294, 0.0030615394935011864, 0...
Aleksandar/bert-srb-ner-setimes-lr
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-taxi-v3-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2...
[ -0.018703656271100044, -0.014128358103334904, -0.007732984609901905, 0.02416711486876011, 0.04905842989683151, -0.001314170309342444, -0.018280982971191406, 0.00635992456227541, -0.03633202612400055, 0.05332530662417412, 0.017560943961143494, -0.009501642547547817, 0.013526749797165394, 0....
Aleksandar/bert-srb-ner-setimes
[ "pytorch", "bert", "token-classification", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
8
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049718137830495834, -0.0161109808832407, -0.008752269670367241, 0.03653258457779884, 0.041194796562194824, 0.002967322012409568, -0.02131783962249756, -0.010484462603926659, -0.03777061775326729, 0.05676669254899025, 0.02438363805413246, -0.003171578049659729, 0.03187865391373634, 0.003...
Aleksandra/herbert-base-cased-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "generated_from_trainer", "license:cc-by-4.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.041331734508275986, -0.01509549468755722, -0.01634456403553486, 0.036853283643722534, 0.04944724962115288, -0.004248487763106823, -0.014358666725456715, -0.026081841439008713, -0.031071214005351067, 0.05373488366603851, 0.022409139201045036, -0.0334056057035923, 0.017539139837026596, 0....
AlekseyKorshuk/comedy-scripts
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
20
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion args: split ...
[ -0.009696222841739655, 0.009290279820561409, -0.02960280328989029, 0.03657177835702896, 0.06140521913766861, 0.033274490386247635, -0.022796157747507095, -0.03515661507844925, -0.03330301493406296, 0.05605149641633034, 0.020062560215592384, -0.045391861349344254, 0.03403502702713013, 0.044...
AlekseyKulnevich/Pegasus-QuestionGeneration
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
17
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: HASAN55/distilberto results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # HASAN55/distil...
[ -0.018958281725645065, -0.007679549045860767, -0.015785958617925644, 0.03041483834385872, 0.034863028675317764, 0.018610645085573196, -0.013159651309251785, -0.027710650116205215, -0.03573719412088394, 0.05952503904700279, 0.02036299742758274, -0.04181165248155594, 0.018483420833945274, 0....
AlexMaclean/sentence-compression-roberta
[ "pytorch", "roberta", "token-classification", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
13
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.04495018720626831, -0.0005016449722461402, -0.022587262094020844, 0.032466739416122437, 0.043698761612176895, 0.017249148339033127, -0.018431907519698143, -0.0312795415520668, -0.038283560425043106, 0.0689699798822403, 0.023093337193131447, 0.0024324748665094376, 0.015499025583267212, 0...
AlexMaclean/sentence-compression
[ "pytorch", "distilbert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
16
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: t5-base-finetuned-es-to-azz results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment...
[ -0.019291657954454422, 0.0010491672437638044, 0.006236984860152006, 0.020966939628124237, 0.01758049800992012, 0.0027212437707930803, -0.02335856482386589, -0.0043897186405956745, -0.032006144523620605, 0.03138462081551552, 0.015731457620859146, -0.030045101419091225, 0.004277978558093309, ...
AlexaMerens/Owl
[ "license:cc" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.039780162274837494, -0.017044972628355026, -0.016877813264727592, 0.03698073327541351, 0.049401700496673584, -0.005328918807208538, -0.014701186679303646, -0.024400537833571434, -0.031014321371912956, 0.0554112046957016, 0.02256353758275509, -0.030010046437382698, 0.019663307815790176, ...
Alexander-Learn/bert-finetuned-ner-accelerate
[ "pytorch", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
4
null
--- license: mit tags: - generated_from_trainer datasets: - ncbi_disease metrics: - precision - recall - f1 - accuracy model-index: - name: BIO_GPT_NER_FINETUNED_NEW_2 results: - task: name: Token Classification type: token-classification dataset: name: ncbi_disease type: ncbi_disease ...
[ -0.008961105719208717, -0.01797432452440262, 0.006634884979575872, 0.00048827205318957567, 0.02489597536623478, 0.02114902064204216, -0.015504254959523678, -0.028546098619699478, -0.02176954410970211, 0.048502665013074875, 0.028655005618929863, -0.016664886847138405, 0.019102999940514565, ...
Alexandru/creative_copilot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whipser-small-hi results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # whi...
[ -0.042051032185554504, -0.0013045239029452205, 0.0030388268642127514, 0.0314856618642807, 0.03485121577978134, 0.003008708357810974, 0.0026537668891251087, -0.005749164614826441, -0.03518557548522949, 0.0747460201382637, 0.027342848479747772, -0.028129905462265015, -0.0028271982446312904, ...
AlexeyIgnatov/albert-xlarge-v2-squad-v2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-13T14:51:22Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: t5-base-finetuned-es-to-ngu results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment...
[ -0.018228475004434586, 0.0019929029513150454, 0.009663544595241547, 0.02116060070693493, 0.025165768340229988, 0.007548895198851824, -0.023157063871622086, -0.008352324366569519, -0.02950712852180004, 0.03153856471180916, 0.008957414887845516, -0.03755464032292366, 0.005086320452392101, 0....
Alireza1044/albert-base-v2-cola
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
32
null
--- language: en license: apache-2.0 library_name: pytorch tags: - deep-reinforcement-learning - reinforcement-learning - DI-engine - Hopper-v3 benchmark_name: OpenAI/Gym/MuJoCo task_name: Hopper-v3 pipeline_tag: reinforcement-learning model-index: - name: PPO results: - task: type: reinforcement-learning ...
[ -0.036776456981897354, 0.0019082013750448823, 0.0054169511422514915, 0.021916553378105164, 0.031992025673389435, -0.004954751580953598, 0.012700188905000687, -0.021045567467808723, -0.02737947553396225, 0.057040996849536896, 0.0071509964764118195, -0.011452512815594673, 0.009752290323376656,...
Aloka/mbart50-ft-si-en
[ "pytorch", "tensorboard", "mbart", "text2text-generation", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: mit --- - Check out the demo: https://huggingface.co/spaces/winglian/llama-adapter - Read the paper: https://arxiv.org/abs/2303.16199 - PEFT PR: https://github.com/huggingface/peft/pull/268 training hyperparamters: ``` --batch_size 64 --micro_batch_size 8 --num_epochs 5 --learning_rate 9e-3 --cutoff_len...
[ -0.045390672981739044, -0.0022977034095674753, -0.030166756361722946, 0.03182002529501915, 0.026502087712287903, -0.00344254937954247, -0.017699314281344414, -0.006168331950902939, 0.016405446454882622, 0.05317584425210953, 0.007837167009711266, -0.0163336880505085, 0.02731778472661972, 0....
Alvenir/wav2vec2-base-da
[ "pytorch", "wav2vec2", "pretraining", "da", "transformers", "speech", "license:apache-2.0" ]
null
{ "architectures": [ "Wav2Vec2ForPreTraining" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
62
2023-04-13T15:23:48Z
--- tags: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain 🤗" datasets: - tradero/autotrain-data-user-intent co2_eq_emissions: emissions: 0.46902644633558377 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 49241119078 - CO2 Emissions (in ...
[ -0.017474638298153877, -0.023109493777155876, 0.003417317057028413, 0.036455895751714706, 0.0490788035094738, 0.034970566630363464, -0.026669176295399666, -0.019557593390345573, -0.02795591577887535, 0.08561393618583679, 0.018976619467139244, 0.010766956023871899, 0.004080147948116064, 0.0...
Amalq/distilroberta-base-finetuned-anxiety-depression
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 datasets: - gsdf/EasyNegative ---
[ -0.017881257459521294, -0.023130642250180244, -0.004775842651724815, -0.0006470436928793788, 0.05867372080683708, 0.015318444930016994, -0.009102792479097843, 0.013764075934886932, -0.03936624154448509, 0.02480844408273697, 0.013054117560386658, 0.014032343402504921, 0.05317927896976471, 0...
AmanPriyanshu/DistilBert-Sentiment-Analysis
[ "tf", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
7
null
--- license: mit tags: - generated_from_trainer model-index: - name: xlmr-wmt20qe1-en-de-1986 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # xlmr-wmt20qe1-en-...
[ -0.03169429302215576, -0.00566329900175333, -0.006506144069135189, 0.032020509243011475, 0.03376598283648491, 0.016669461503624916, -0.02126494236290455, -0.012633339501917362, -0.03635415807366371, 0.05247437581419945, 0.013578115962445736, -0.050864506512880325, 0.005621453281491995, 0.0...
Andrey1989/mbert-finetuned-ner_2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: t5-base-finetuned-es-to-guc results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment...
[ -0.01514534279704094, 0.0070167044177651405, 0.007012806832790375, 0.018554795533418655, 0.02846662327647209, 0.003411326091736555, -0.021329889073967934, -0.0007835184806026518, -0.02905791625380516, 0.03413812443614006, 0.013163996860384941, -0.029904283583164215, 0.0017884239787235856, ...
Andrija/SRoBERTa-base
[ "pytorch", "roberta", "fill-mask", "hr", "sr", "multilingual", "dataset:oscar", "dataset:leipzig", "transformers", "masked-lm", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
80
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021822266280651093, -0.005258425138890743, 0.010250302962958813, 0.03694611042737961, 0.03377264365553856, 0.014762211591005325, -0.027735380455851555, -0.014875810593366623, -0.014584073796868324, 0.060971055179834366, 0.005352654494345188, 0.0008832887979224324, 0.011380287818610668, ...
AnonymousSub/AR_rule_based_hier_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # rithwik-db/standardized-e5-base-unsupervised-16-198009 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector s...
[ -0.0372791662812233, -0.020591827109456062, -0.015164699405431747, 0.04651610553264618, 0.010940421372652054, 0.043406207114458084, -0.022936852648854256, -0.005569906439632177, -0.07062744349241257, 0.08385628461837769, 0.03847283124923706, 0.013333317823708057, -0.0011152661172673106, 0....
AnonymousSub/AR_rule_based_roberta_twostagetriplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: mit --- Rick Sanchez LoRA for llama models (7B)
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AnonymousSub/EManuals_BERT_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: creativeml-openrail-m --- https://civitai.com/models/38354/murasaki-shikibu-8in1-fate-grand-order
[ -0.0262723620980978, -0.014739382080733776, 0.026093335822224617, 0.014384642243385315, 0.05909591540694237, 0.02068750001490116, 0.007242192979902029, -0.017249932512640953, -0.04021366685628891, 0.05912880599498749, 0.050366248935461044, 0.024685760959982872, 0.04680468142032623, 0.03074...
AnonymousSub/EManuals_BERT_copy_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- license: creativeml-openrail-m --- https://civitai.com/models/37971/tohka-yatogami-or-date-a-live
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AnonymousSub/SR_consert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.04011727496981621, -0.016214443370699883, -0.015953363850712776, 0.037586890161037445, 0.04908140003681183, -0.005299157928675413, -0.014292603358626366, -0.025607820600271225, -0.032281044870615005, 0.05500657856464386, 0.023203449323773384, -0.03401649370789528, 0.017447367310523987, ...
AnonymousSub/SR_rule_based_bert_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- tags: - autotrain - vision - image-classification datasets: - rafferty/autotrain-data-amber-mine-tutorial widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_ti...
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AnonymousSub/SR_rule_based_hier_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- tags: - generated_from_trainer model-index: - name: disaster-tweet-2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # disaster-tweet-2 This model is a fine...
[ -0.0351235568523407, -0.016447845846414566, -0.007065341342240572, 0.043671492487192154, 0.045084480196237564, 0.022676819935441017, -0.01471403706818819, -0.022655976936221123, -0.04807585850358009, 0.038462866097688675, 0.017067475244402885, -0.03093057870864868, -0.010984968394041061, 0...
AnonymousSub/SR_rule_based_only_classfn_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 pipeline_tag: image-segmentation ---
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AnonymousSub/SR_rule_based_roberta_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - generated_from_trainer datasets: - wikitext model-index: - name: opt-350m-wikitext2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # opt-350m-wikite...
[ -0.019780850037932396, -0.02752058207988739, -0.021411433815956116, 0.02345799282193184, 0.01994355581700802, 0.030760448426008224, -0.010805274359881878, -0.011396106332540512, -0.03283928707242012, 0.060989439487457275, 0.046562932431697845, -0.0029732007533311844, 0.0012891305377706885, ...
AnonymousSub/SR_rule_based_roberta_bert_triplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - generated_from_trainer model-index: - name: disaster-tweet-3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # disaster-tweet-3 This model is a fine...
[ -0.03503204137086868, -0.015582399442791939, -0.009098424576222897, 0.04174908623099327, 0.04424690827727318, 0.024492204189300537, -0.016017358750104904, -0.023615581914782524, -0.050330594182014465, 0.03989677503705025, 0.017434217035770416, -0.034924935549497604, -0.01067283283919096, 0...
AnonymousSub/SR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.03667908161878586, -0.01521014142781496, -0.013860724866390228, 0.03542346879839897, 0.049107618629932404, -0.006803222931921482, -0.013964897952973843, -0.024253956973552704, -0.031737226992845535, 0.05589744448661804, 0.024403143674135208, -0.03575684875249863, 0.016072968021035194, 0...
AnonymousSub/SR_rule_based_roberta_twostagetriplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- datasets: - voidful/NMSQA language: - en metrics: - wer pipeline_tag: automatic-speech-recognition --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This model was pretrained using Facebook-base-960h model on NMSQA dataset. The task is Automatic Speech Recognition (ASR) in ...
[ -0.01281057670712471, -0.014469052664935589, -0.016128242015838623, 0.053935687988996506, 0.038433950394392014, 0.040160391479730606, -0.0003168970870319754, -0.014567107893526554, -0.04106956347823143, 0.054904572665691376, 0.039068546146154404, -0.0012133801355957985, 0.011623533442616463,...
AnonymousSub/SR_rule_based_roberta_twostagetriplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.04138536378741264, -0.017502911388874054, -0.019112225621938705, 0.03826473653316498, 0.049613915383815765, -0.003587818704545498, -0.011821881867945194, -0.025117767974734306, -0.03059016540646553, 0.05555012449622154, 0.028207063674926758, -0.026442844420671463, 0.016071883961558342, ...
AnonymousSub/SR_rule_based_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- language: en thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4...
[ 0.006238312926143408, -0.03671058267354965, 0.00382782518863678, 0.039953093975782394, 0.043228644877672195, 0.009528355672955513, -0.024084363132715225, -0.0030533578246831894, -0.03532404452562332, 0.03768157586455345, -0.00625507440418005, -0.011573628522455692, 0.005209555849432945, 0....
AnonymousSub/bert_mean_diff_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.041029125452041626, 0.01507773157209158, 0.013762424699962139, 0.01836455799639225, 0.04931005835533142, -0.012812651693820953, -0.019873591139912605, -0.023057129234075546, -0.01722540892660618, 0.06797096878290176, 0.03619293496012688, -0.007739572320133448, 0.011957048438489437, -0.0...
AnonymousSub/bert_snips
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
5
null
--- license: apache-2.0 tags: - trl - transformers - reinforcement-learning --- # TRL Model This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback. The model can be used for text ...
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AnonymousSub/bert_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02055894024670124, -0.0058231474831700325, 0.010634154081344604, 0.03849156200885773, 0.03130188584327698, 0.014866193756461143, -0.02730383910238743, -0.014268898405134678, -0.016286814585328102, 0.06146195903420448, 0.008026975207030773, 0.00038846349343657494, 0.010378633625805378, 0...
AnonymousSub/cline-papers-biomed-0.618
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- license: apache-2.0 tags: - generated_from_keras_callback - biology - medical model-index: - name: jjglilleberg/bert-finetuned-ner-nbci-disease results: [] datasets: - ncbi_disease language: - en metrics: - seqeval library_name: keras pipeline_tag: token-classification --- # jjglilleberg/bert-finetuned-ner-nbci...
[ -0.004053826443850994, -0.009691037237644196, -0.0057595944963395596, 0.006925601977854967, 0.014972622506320477, 0.01475895568728447, -0.019755739718675613, -0.0355389267206192, -0.024911977350711823, 0.037040043622255325, 0.015423865057528019, -0.03133220970630646, 0.0294306930154562, 0....
AnonymousSub/cline-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
31
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04993542656302452, -0.016029750928282738, -0.008781397715210915, 0.03615202382206917, 0.04089435935020447, 0.002797997323796153, -0.021348776295781136, -0.010255586355924606, -0.03781304508447647, 0.05708393082022667, 0.024626126512885094, -0.00284341792576015, 0.031348977237939835, 0.0...
AnonymousSub/cline
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- license: bigscience-bloom-rail-1.0 pipeline_tag: text-generation library_name: transformers tags: - dolly - bloomz - Spanish datasets: - dvilasuero/databricks-dolly-15k-es-deepl inference: false widget: - text: >- Below is an instruction that describes a task, paired with an input that provides further cont...
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AnonymousSub/cline_emanuals
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- tags: - conversational - Steins-Gate --- # Makise Amadeus Kurisu
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AnonymousSub/cline_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
27
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.03881622850894928, -0.0046590897254645824, 0.010875790379941463, 0.040029268711805344, 0.02509697712957859, -0.010837364010512829, -0.010315281338989735, -0.02498798258602619, -0.03631175309419632, 0.053638264536857605, 0.03633572906255722, -0.000020096647858736105, 0.018441179767251015, ...
AnonymousSub/dummy_1
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: SloBertAA_Top10_WithOOC_MultilingualBertBase results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.01867442950606346, -0.002979289274662733, -0.015596629120409489, 0.049334049224853516, 0.027867278084158897, 0.031250763684511185, -0.00863591767847538, -0.0170917846262455, -0.05334366485476494, 0.060562048107385635, 0.016222907230257988, -0.037650544196367264, 0.0043001361191272736, 0...
AnonymousSub/hier_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- language: - en --- This is just a diffusers friendly version of [Justin Pinkney's miniSD checkpoint](https://huggingface.co/justinpinkney/miniSD). To find out more check out my [blog article](https://www.storminthecastle.com/posts/minisd/)
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AnonymousSub/roberta-base_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03707028180360794, -0.0026099872775375843, -0.00565502280369401, 0.025896113365888596, 0.04599844291806221, -0.021143760532140732, -0.005567398853600025, -0.028376517817378044, -0.03275725618004799, 0.06643984466791153, 0.03280888497829437, -0.02358565293252468, 0.02290874905884266, 0.0...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: my_test_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.0216729324311018, -0.015741484239697456, -0.017738621681928635, 0.042092058807611465, 0.037353139370679855, 0.027338210493326187, -0.007182008121162653, -0.011720960028469563, -0.051265232264995575, 0.05919080972671509, 0.029665334150195122, -0.022497089579701424, 0.003740282729268074, ...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.03950941190123558, -0.016685420647263527, -0.015845494344830513, 0.036723360419273376, 0.048615988343954086, -0.005613747052848339, -0.013269011862576008, -0.025113597512245178, -0.03118901327252388, 0.054159015417099, 0.02298893965780735, -0.03215985372662544, 0.019641807302832603, 0.0...
AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
2023-04-14T02:21:10Z
--- license: apache-2.0 --- Streaming zipformer for sherpa-ncnn The torchscript model is from https://huggingface.co/shaojieli/icefall-asr-commonvoice-fr-pruned-transducer-stateless7-streaming-2023-04-02
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AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
24
2023-04-14T02:28:14Z
### Alpaca-Llama-7B output |Model | HF link | | | | |---|---|---|---|---| |PreTrained | decapoda-research/llama-7b-hf | | | | |Lora8-qv | yuekai/llama-lora-qv-3epoch | | | | |Lora8-qkvo | yuekai/llama-lora-qkvo-5epoch | | | | |Lora16-qkvo | yuekai/llama-lora-qkvo-r16-10epoch | ...
[ -0.03631279617547989, -0.004623054061084986, -0.0021949470974504948, 0.043642107397317886, 0.05788130313158035, 0.02131696604192257, 0.00305141881108284, -0.032143499702215195, -0.02317523956298828, 0.05601576715707779, 0.03991091251373291, -0.04653192684054375, 0.008676962926983833, 0.018...
AnonymousSub/unsup-consert-papers-bert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
9
null
--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - ReKarma/pokemon-lora These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. Th...
[ -0.030788149684667587, -0.018122302368283272, -0.01566755399107933, 0.021474037319421768, 0.05118296667933464, -0.01687045954167843, 0.017593225464224815, -0.006141206715255976, -0.03191286697983742, 0.059852007776498795, 0.003444657428190112, -0.022890862077474594, 0.024686770513653755, 0...