modelId
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81
tags
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stringclasses
17 values
config
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downloads
int64
0
59.7M
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Ale/Alen
[]
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 ...
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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
--- license: mit tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: my_awesome_wnut_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 re...
[ -0.04091279208660126, -0.004602586850523949, -0.012246277183294296, 0.04509153589606285, 0.02088707685470581, 0.021835805848240852, -0.00766804488375783, -0.02657400630414486, -0.025435278192162514, 0.07300252467393875, 0.027632366865873337, -0.0199106615036726, -0.0009967228397727013, 0.0...
Aleksandar/bert-srb-ner
[ "pytorch", "bert", "token-classification", "dataset:wikiann", "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...
4
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: Copilot_for_poors_v2 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. --> # Copilot_for_po...
[ -0.031237255781888962, 0.004423838108778, -0.01449369266629219, 0.022816143929958344, 0.040228474885225296, 0.017346302047371864, -0.012699343264102936, -0.009742958471179008, -0.04244653880596161, 0.055024225264787674, 0.021059280261397362, -0.028099285438656807, 0.002537228399887681, 0.0...
AlekseyKorshuk/horror-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...
19
null
--- license: apache-2.0 tags: - Super-Resolution - computer-vision - RealSR - gan --- ### Model Description [RealSR](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w31/Ji_Real-World_Super-Resolution_via_Kernel_Estimation_and_Noise_Injection_CVPRW_2020_paper.pdf): Real-World Super-Resolution via Kernel...
[ -0.022237438708543777, -0.020039027556777, -0.019256561994552612, 0.00007568662840640172, 0.026331909000873566, -0.0041456036269664764, -0.021677298471331596, -0.016868475824594498, -0.024025002494454384, 0.03608006611466408, 0.03928360342979431, -0.0011647455394268036, 0.01124152448028326, ...
Alerosae/SocratesGPT-2
[ "pytorch", "gpt2", "feature-extraction", "en", "transformers", "text-generation" ]
text-generation
{ "architectures": [ "GPT2Model" ], "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": nul...
7
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-it results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.it split: train ...
[ -0.026572788134217262, 0.002147575607523322, 0.002641957486048341, 0.01690785214304924, 0.025554386898875237, 0.023387547582387924, -0.016222897917032242, -0.011085224337875843, -0.016497332602739334, 0.04471712186932564, 0.02423029951751232, -0.04237682744860649, 0.017051735892891884, 0.0...
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: - accuracy - wer model-index: - name: model_broadclass_onSet2.1 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 this...
[ -0.02787857875227928, 0.009982853196561337, -0.018881039693951607, 0.025993824005126953, 0.038078613579273224, 0.025625308975577354, -0.03202288597822189, -0.003612967673689127, -0.02410542406141758, 0.05790996551513672, 0.02432878129184246, -0.03660155460238457, 0.02180020697414875, 0.013...
AlexN/xls-r-300m-pt
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "robust-speech-event", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "hf-asr-leaderboard", "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...
15
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-en results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.en split: train ...
[ -0.027096105739474297, 0.0009815869852900505, 0.004330241121351719, 0.020831745117902756, 0.02659483067691326, 0.025209378451108932, -0.02118697762489319, -0.013693188317120075, -0.022770076990127563, 0.047523364424705505, 0.019691461697220802, -0.04315108060836792, 0.013603209517896175, 0...
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
--- license: openrail --- # Al-Nay (الناي) Unconditional Diffusion Al-Nay is one of the oldest instruments used to this date. With its roots in ancient Egypt nearly 5,000 years ago, it has become a staple in Arabic and Persian music. While the number of Nayzens – the name associated with skilled players of the instr...
[ -0.026636246591806412, -0.00799156166613102, -0.0246407613158226, 0.02495650202035904, 0.009531602263450623, 0.017017094418406487, 0.008423330262303352, -0.010042489506304264, -0.011306026950478554, 0.049125492572784424, 0.018730780109763145, -0.015337935648858547, 0.017805738374590874, 0....
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: unknown tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image --- # RutkowskiDiffusion_V1 - Trained on SD 2.1 768x768 The model was originally meant to be named FantasyDiffusion, though given recent events I guess you could see why I made the namechange. **Prompts to use:** (SDV1) or (I...
[ -0.030263375490903854, -0.04063986986875534, -0.024684326723217964, 0.048263195902109146, 0.05423949658870697, 0.0052176895551383495, 0.021538779139518738, -0.008871923200786114, -0.02097351849079132, 0.049504149705171585, 0.040445566177368164, 0.004500850103795528, 0.02191779948771, 0.055...
AlexeyYazev/my-awesome-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
2022-12-22T23:40:23Z
--- 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 ...
[ -0.03733181953430176, -0.0031794945243746042, -0.005051605403423309, 0.026296239346265793, 0.04622551426291466, -0.02080346643924713, -0.005058335140347481, -0.028132298961281776, -0.03367573395371437, 0.06637338548898697, 0.032467447221279144, -0.023801026865839958, 0.023436345160007477, ...
Alfia/anekdotes
[]
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: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-all 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....
[ -0.04344603046774864, -0.004120701923966408, 0.0014184629544615746, 0.03426143154501915, 0.021107034757733345, 0.027254734188318253, -0.011976548470556736, -0.004501713905483484, -0.03269178420305252, 0.046588655561208725, 0.02277602255344391, -0.05419135466217995, 0.019282378256320953, 0....
Alireza-rw/testbot
[]
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
2022-12-23T00:21:19Z
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for vit_relpos_medium_patch16_cls_224.sw_in1k A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings, cla...
[ -0.024224000051617622, -0.020756563171744347, 0.0035326536744832993, 0.024633005261421204, 0.03368233144283295, -0.0013586529530584812, -0.0016296767862513661, -0.0072316136211156845, -0.006130834110081196, 0.05691246688365936, 0.02579355612397194, -0.0016090084100142121, -0.0080634159967303...
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
2022-12-23T00:21:34Z
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for vit_relpos_medium_patch16_rpn_224.sw_in1k A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings and ...
[ -0.022442251443862915, -0.020259100943803787, 0.006443572696298361, 0.024144340306520462, 0.032051365822553635, -0.0026664992328733206, 0.0012245953548699617, -0.008172454312443733, -0.007571443449705839, 0.055604733526706696, 0.0271946731954813, -0.00010873345308937132, -0.00960140861570835...
Alireza1044/albert-base-v2-mnli
[ "pytorch", "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...
235
2022-12-23T00:21:58Z
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for vit_relpos_small_patch16_224.sw_in1k A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings, no class...
[ -0.023207945749163628, -0.022607652470469475, 0.003380811307579279, 0.02520868368446827, 0.03227942809462547, -0.003000400261953473, -0.0010352992685511708, -0.007086992729455233, -0.0064568063244223595, 0.05926700308918953, 0.026424668729305267, -0.001369747333228588, -0.010549625381827354,...
Alireza1044/albert-base-v2-mrpc
[ "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...
204
2022-12-23T00:22:15Z
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for vit_srelpos_medium_patch16_224.sw_in1k A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with shared relative position embeddings,...
[ -0.026556650176644325, -0.0215748343616724, 0.0008838025969453156, 0.026579013094305992, 0.03357045724987984, -0.001408727839589119, -0.002377187367528677, -0.007106637582182884, -0.00848408043384552, 0.05957461893558502, 0.02821364812552929, 0.00006945097265997902, -0.010842173360288143, ...
Allybaby21/Allysai
[]
null
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0
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-21k --- # Model card for vit_tiny_r_s16_p8_224.augreg_in21k A ResNet - Vision Transformer (ViT) hybrid image classification model. Trained on ImageNet-21k (with additional augmentation and regularization) in JAX by pape...
[ -0.029914921149611473, -0.022761423140764236, 0.005226103123277426, 0.02592867985367775, 0.01952061802148819, -0.0060648261569440365, -0.0020500735845416784, -0.014081201516091824, 0.002643313491716981, 0.04179263487458229, 0.024924350902438164, -0.0018261487130075693, 0.0024596748407930136,...
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
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-21k --- # Model card for vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k A ResNet - Vision Transformer (ViT) hybrid image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additi...
[ -0.029127400368452072, -0.022841688245534897, 0.002898026956245303, 0.026656879112124443, 0.015930481255054474, -0.0058797928504645824, -0.002342483727261424, -0.014637983404099941, 0.0024116644635796547, 0.04125196859240532, 0.024946441873908043, -0.0024535618722438812, 0.002294361358508467...
Alstractor/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
40
2022-12-23T00:34:52Z
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-21k --- # Model card for vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k A ResNet - Vision Transformer (ViT) hybrid image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additi...
[ -0.02839711867272854, -0.023199986666440964, 0.003063957905396819, 0.026307957246899605, 0.01621761918067932, -0.00424992386251688, -0.002674642251804471, -0.013833697885274887, 0.0022625091951340437, 0.040894947946071625, 0.025075765326619148, -0.0029644574970006943, 0.0017608987400308251, ...
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
null
--- license: mit tags: - generated_from_trainer model-index: - name: prompt-extend results: [] --- [🤗's Demo](https://huggingface.co/spaces/yizhangliu/Text-to-Image)
[ -0.022581826895475388, -0.021846946328878403, -0.0020322890486568213, 0.04330452159047127, 0.053149353712797165, 0.02159544825553894, -0.009777460247278214, -0.003115431871265173, -0.022844092920422554, 0.03577040880918503, 0.02309184893965721, -0.007347286678850651, 0.02435280568897724, 0...
Amalq/distilroberta-base-finetuned-MentalHealth
[]
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 ...
[ -0.03793849050998688, -0.0028403624892234802, -0.004608909133821726, 0.02526354230940342, 0.044673703610897064, -0.021814947947859764, -0.005407707300037146, -0.027588091790676117, -0.03359265998005867, 0.06698205322027206, 0.03184674680233002, -0.023635052144527435, 0.022752558812499046, ...
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
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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Amalq/roberta-base-finetuned-schizophreniaReddit2
[ "pytorch", "tensorboard", "roberta", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "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...
5
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-model-01 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: me...
[ -0.028856609016656876, 0.01901712454855442, 0.006743420381098986, 0.010062280111014843, 0.042208053171634674, -0.016612188890576363, -0.025021040812134743, -0.012919774278998375, -0.02725011482834816, 0.08526043593883514, 0.01750369369983673, -0.004405266605317593, 0.015130889602005482, 0....
Amba/wav2vec2-large-xls-r-300m-tr-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
null
--- language: - en license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - atcosim_corpus metrics: - wer model-index: - name: atcosim_corpus results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: atcosim_corpus ty...
[ -0.04537693038582802, -0.01599167473614216, -0.0353587344288826, 0.03254368528723717, 0.042197007685899734, 0.017696913331747055, -0.03095853142440319, -0.009340331889688969, -0.039638251066207886, 0.05866660177707672, 0.03758051618933678, -0.015084043145179749, -0.013217499479651451, 0.03...
aisoftware/Loquela
[ "onnx" ]
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: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017784761264920235, -0.017248541116714478, -0.0066520581021904945, 0.02896101027727127, 0.05312070995569229, -0.016405116766691208, -0.011573130264878273, -0.006795896217226982, -0.058887824416160583, 0.055689696222543716, -0.0009743896080181003, -0.006437339354306459, 0.02448419295251369...
AmirBialer/amirbialer-Classifier
[]
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
--- language: en license: wtfpl tags: - text-generation ---
[ -0.015791412442922592, -0.021409060806035995, -0.0034400271251797676, 0.02069741301238537, 0.04284724220633507, 0.015586367808282375, 0.010367244482040405, 0.010754643939435482, -0.023754218593239784, 0.04717278853058815, 0.039667945355176926, -0.0063588120974600315, -0.0024373987689614296, ...
AmirHussein/test
[]
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
--- language: - vi license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: Hieu Dam Model Shuffle results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You sho...
[ -0.04754148796200752, -0.00987479742616415, -0.017518963664770126, 0.03470427915453911, 0.042191650718450546, 0.005563750397413969, 0.014180181547999382, -0.00014146244211588055, -0.04832934960722923, 0.05215485394001007, 0.02913111075758934, -0.0076677738688886166, -0.0011427451390773058, ...
AmirServi/MyModel
[]
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 ...
[ -0.04134264588356018, -0.015171426348388195, -0.017960108816623688, 0.032887473702430725, 0.054143890738487244, -0.00451213214546442, -0.012209017761051655, -0.025078557431697845, -0.0316753014922142, 0.05394357070326805, 0.019024431705474854, -0.029471339657902718, 0.01820359006524086, 0....
Amirosein/distilbert_v1
[ "pytorch", "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...
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 ...
[ -0.0370822474360466, -0.0029057073406875134, -0.004922783933579922, 0.025822198018431664, 0.04533321410417557, -0.021258896216750145, -0.005331763066351414, -0.027832213789224625, -0.03328871726989746, 0.06661446392536163, 0.03252232447266579, -0.023733753710985184, 0.023046405985951424, 0...
Amirosein/roberta
[ "pytorch", "roberta", "fill-mask", "transformers", "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...
6
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-uncased-Regression-Edmunds_Car_Reviews-Non_European_Imports results: [] language: - en --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proo...
[ -0.02255396917462349, 0.02488514967262745, -0.014444677159190178, 0.0312642827630043, 0.03426333889365196, 0.02762879617512226, -0.01007570419460535, -0.006561341229826212, -0.05520571023225784, 0.053595997393131256, 0.04552809149026871, -0.04059427231550217, 0.012792580761015415, 0.039998...
AmitT/test
[]
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: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-22k - imagenet-22k --- # Model card for beit_base_patch16_224.in22k_ft_in22k A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visual tok...
[ -0.013738264329731464, -0.026544790714979172, -0.0019170191371813416, 0.026728717610239983, 0.02980893664062023, -0.0014275787398219109, 0.008839305490255356, 0.0022581100929528475, -0.002056883880868554, 0.05512894317507744, 0.012218295596539974, -0.005959147121757269, -0.004080667626112699...
Amitabh/doc-classification
[]
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: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-22k --- # Model card for beit_base_patch16_224.in22k_ft_in22k_in1k A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visual...
[ -0.013266672380268574, -0.026595743373036385, -0.002457738621160388, 0.026901744306087494, 0.02813510224223137, -0.0017460118979215622, 0.008390647359192371, 0.0013846158981323242, -0.0017822622321546078, 0.055750660598278046, 0.011585114523768425, -0.0054641966708004475, -0.0034740150440484...
Amro-Kamal/gpt
[]
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: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-22k --- # Model card for beit_base_patch16_384.in22k_ft_in22k_in1k A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visual...
[ -0.012361138127744198, -0.02617255225777626, -0.0021465360186994076, 0.026242610067129135, 0.027141349390149117, -0.000820979243144393, 0.007919947616755962, 0.0022899997420608997, -0.002083580009639263, 0.05534441024065018, 0.011109926737844944, -0.005911330226808786, -0.0038307500071823597...
Amrrs/indian-foods
[ "pytorch", "tensorboard", "vit", "image-classification", "transformers", "huggingpics", "model-index", "autotrain_compatible" ]
image-classification
{ "architectures": [ "ViTForImageClassification" ], "model_type": "vit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
33
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-22k - imagenet-22k --- # Model card for beit_large_patch16_224.in22k_ft_in22k A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visual to...
[ -0.013020646758377552, -0.02449546754360199, -0.0005232672556303442, 0.025967666879296303, 0.03204726055264473, -0.0042718579061329365, 0.007207775954157114, -0.000115320181066636, -0.0013113802997395396, 0.05733741819858551, 0.012473727576434612, -0.004159067291766405, -0.004483845550566912...
Amrrs/south-indian-foods
[ "pytorch", "tensorboard", "vit", "image-classification", "transformers", "huggingpics", "model-index", "autotrain_compatible" ]
image-classification
{ "architectures": [ "ViTForImageClassification" ], "model_type": "vit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
21
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-22k --- # Model card for beit_large_patch16_224.in22k_ft_in22k_in1k A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visua...
[ -0.012132266536355019, -0.024040022864937782, -0.0007745930925011635, 0.026292800903320312, 0.0313192717730999, -0.004223798867315054, 0.0069967955350875854, -0.00018449776689521968, -0.0006803182186558843, 0.05769820511341095, 0.012491845525801182, -0.003644140437245369, -0.0043673105537891...
Amrrs/wav2vec2-large-xlsr-53-tamil
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "ta", "dataset:common_voice", "transformers", "audio", "speech", "xlsr-fine-tuning-week", "license:apache-2.0", "model-index", "has_space" ]
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...
31
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
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Ana1315/A
[]
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-trial-1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 ...
[ -0.02078264392912388, -0.01898777112364769, -0.006902466528117657, 0.028747571632266045, 0.04880566522479057, -0.0021882960572838783, -0.01940537616610527, 0.004000559449195862, -0.036622822284698486, 0.05170070379972458, 0.015338386408984661, -0.005576835013926029, 0.011261029168963432, 0...
Ana1315/ana
[]
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: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-22k --- # Model card for beit_large_patch16_384.in22k_ft_in22k_in1k A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visua...
[ -0.011768903583288193, -0.023867886513471603, -0.0005077611422166228, 0.02543756365776062, 0.030251488089561462, -0.003667131531983614, 0.00660507520660758, 0.00011173747043358162, -0.0010823349002748728, 0.05769549682736397, 0.011402884498238564, -0.0033693916629999876, -0.00489174434915185...
AnaRhisT/bert_sequence_cs_validation
[]
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: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-22k --- # Model card for beit_large_patch16_512.in22k_ft_in22k_in1k A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visua...
[ -0.012533009983599186, -0.023783529177308083, -0.001113777863793075, 0.02600909024477005, 0.03086908347904682, -0.00414471747353673, 0.006991778500378132, -0.0004832601407542825, -0.0008578375563956797, 0.05724116042256355, 0.011851994320750237, -0.003719082335010171, -0.005082449410110712, ...
Analufm/Ana
[]
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: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-22k --- # Model card for beitv2_base_patch16_224.in1k_ft_in22k A BEiT-v2 image classification model. Trained on ImageNet-1k with self-supervised masked image modelling (MIM) using a VQ-KD encoder as a visual tokenizer (...
[ -0.004740756470710039, -0.029518965631723404, -0.0024906201288104057, 0.024956559762358665, 0.03139179199934006, -0.010638566687703133, 0.007762159686535597, 0.004819875583052635, -0.0005302932695485651, 0.05544639006257057, 0.00340361543931067, -0.003935195505619049, 0.006669015157967806, ...
Anamika/autonlp-Feedback1-479512837
[ "pytorch", "xlm-roberta", "text-classification", "unk", "dataset:Anamika/autonlp-data-Feedback1", "transformers", "autonlp", "co2_eq_emissions" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
34
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-1k - imagenet-22k --- # Model card for beitv2_base_patch16_224.in1k_ft_in22k_in1k A BEiT-v2 image classification model. Trained on ImageNet-1k with self-supervised masked image modelling (MIM) using a VQ-K...
[ -0.007119860965758562, -0.029900668188929558, -0.004142306745052338, 0.027201103046536446, 0.02890658751130104, -0.008262161165475845, 0.008313103578984737, 0.0034249252639710903, -0.0008912298362702131, 0.0577087476849556, 0.004868274088948965, -0.004029895644634962, 0.0037095777224749327, ...
Anamika/autonlp-fa-473312409
[ "pytorch", "roberta", "text-classification", "en", "dataset:Anamika/autonlp-data-fa", "transformers", "autonlp", "co2_eq_emissions" ]
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, "...
35
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-22k --- # Model card for beitv2_large_patch16_224.in1k_ft_in22k A BEiT-v2 image classification model. Trained on ImageNet-1k with self-supervised masked image modelling (MIM) using a VQ-KD encoder as a visual tokenizer ...
[ -0.0054161204025149345, -0.027080994099378586, -0.0009122726623900235, 0.023836515843868256, 0.03343362361192703, -0.013055656105279922, 0.006970369257032871, 0.004096513148397207, 0.0011507697636261582, 0.057545434683561325, 0.0046746376901865005, -0.0018274264875799417, 0.00529774744063615...
Anders/itu-ams-summa
[]
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: wtfpl --- Trained on 10 works by Aleksandr Deynaka. Lr of 0.0035, batch size of 5, 2 grad acc steps, for a total of 350 steps/epochs. ![18575-1888616135-painting of golden grain fields hills, tractors harvesting, art by socialistrealism, blue sky with clouds, light rays.png](https://s3.amazonaws.com/mo...
[ 0.012863482348620892, -0.024547696113586426, -0.010331060737371445, 0.045300744473934174, 0.06334557384252548, 0.008525864221155643, 0.0011806857073679566, -0.008134206756949425, -0.04531329497694969, 0.05823610723018646, 0.031187904998660088, -0.005531071685254574, 0.000989342457614839, 0...
Andi/bert-tt-ner-1
[]
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: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-1k - imagenet-22k --- # Model card for beitv2_large_patch16_224.in1k_ft_in22k_in1k A BEiT-v2 image classification model. Trained on ImageNet-1k with self-supervised masked image modelling (MIM) using a VQ-...
[ -0.0074030207470059395, -0.02774379961192608, -0.002340491395443678, 0.026821736246347427, 0.030676333233714104, -0.01022600568830967, 0.007378536742180586, 0.002901452826336026, 0.0008729544351808727, 0.059668805450201035, 0.005461759399622679, -0.0024243169464170933, 0.0023444907274097204,...
Andranik/TestPytorchClassification
[ "pytorch", "distilbert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
36
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-elicop-01 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 m...
[ -0.03966142609715462, 0.019679058343172073, 0.018934249877929688, 0.01556958258152008, 0.0496491901576519, -0.013394570909440517, -0.024885505437850952, -0.024711662903428078, -0.020475976169109344, 0.06709679961204529, 0.03739774599671364, -0.004321695771068335, 0.007264355663210154, -0.0...
Andranik/TestQA2
[ "pytorch", "electra", "question-answering", "transformers", "generated_from_trainer", "autotrain_compatible" ]
question-answering
{ "architectures": [ "ElectraForQuestionAnswering" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- tags: - image-classification - timm library_tag: timm license: mit --- # Model card for eva_giant_patch14_224.clip_ft_in1k An EVA-CLIP image classification model. Pretrained on LAION-400M with CLIP and fine-tuned on ImageNet-1k by paper authors. EVA-CLIP uses MIM pretrained image towers and pretrained text towers,...
[ -0.022022627294063568, -0.011868303641676903, 0.008398414589464664, 0.017109742388129234, 0.049410391598939896, -0.020806625485420227, -0.009889141656458378, 0.014559976756572723, -0.010104331187903881, 0.06054346635937691, 0.009799547493457794, 0.001708393101580441, -0.0038050939328968525, ...
Andranik/TestQaV1
[ "pytorch", "rust", "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
null
--- tags: - image-classification - timm library_tag: timm license: mit --- # Model card for eva_giant_patch14_336.clip_ft_in1k An EVA-CLIP image classification model. Pretrained on LAION-400M with CLIP and fine-tuned on ImageNet-1k by paper authors. EVA-CLIP uses MIM pretrained image towers and pretrained text towers,...
[ -0.021355899050831795, -0.011398477479815483, 0.008094091899693012, 0.0174572691321373, 0.0482969656586647, -0.020833903923630714, -0.00999460369348526, 0.014597252011299133, -0.010523263365030289, 0.06076321378350258, 0.008840352296829224, 0.0016070653218775988, -0.0034676664508879185, 0....
AndreLiu1225/t5-news-summarizer
[ "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...
10
null
--- tags: - image-classification - timm library_tag: timm license: mit datasets: - imagenet-1k - merged-30m - imagenet-22k --- # Model card for eva_giant_patch14_336.m30m_ft_in22k_in1k An EVA image classification model. Pretrained on Merged-30M (ImageNet-22K, CC12M, CC3M, Object365, COCO (train), ADE20K (train)) with ...
[ -0.02484157495200634, -0.01825558952987194, 0.013022670522332191, 0.02099023573100567, 0.05533527210354805, -0.005516818258911371, -0.010032287798821926, 0.010071134194731712, -0.0052607739344239235, 0.053690358996391296, 0.009013642556965351, 0.004959361627697945, 0.007124076131731272, 0....
Andres2015/HiggingFaceTest
[]
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: - image-classification - timm library_tag: timm license: mit datasets: - imagenet-1k - merged-30m - imagenet-22k --- # Model card for eva_giant_patch14_560.m30m_ft_in22k_in1k An EVA image classification model. Pretrained on Merged-30M (ImageNet-22K, CC12M, CC3M, Object365, COCO (train), ADE20K (train)) with ...
[ -0.02479560114443302, -0.018249759450554848, 0.012848399579524994, 0.02048288658261299, 0.05656888335943222, -0.005699058063328266, -0.010100234299898148, 0.010409515351057053, -0.005929151549935341, 0.053487956523895264, 0.009974727407097816, 0.005304073449224234, 0.006558104418218136, 0....
AndrewMcDowell/wav2vec2-xls-r-1b-arabic
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:common_voice", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "license:apache-2.0" ]
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...
7
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.01974347047507763, -0.01487042661756277, -0.008049054071307182, 0.02466815710067749, 0.04836486279964447, 0.000812835933174938, -0.019302215427160263, 0.008695022203028202, -0.036450520157814026, 0.05596381425857544, 0.018477793782949448, -0.003725264221429825, 0.012312344275414944, 0.0...
AndrewMcDowell/wav2vec2-xls-r-300m-arabic
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "generated_from_trainer", "hf-asr-leaderboard", "mozilla-foundation/common_voice_7_0", "robust-speech-event", "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...
4
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017259525135159492, -0.017598209902644157, -0.004704332444816828, 0.029119953513145447, 0.05222252011299133, -0.019024347886443138, -0.011830449104309082, -0.008884494192898273, -0.0586278960108757, 0.05426830053329468, -0.0031344008166342974, -0.009374079294502735, 0.02469857782125473, ...
AndrewMcDowell/wav2vec2-xls-r-300m-japanese
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "generated_from_trainer", "hf-asr-leaderboard", "mozilla-foundation/common_voice_8_0", "robust-speech-event", "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...
4
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: nandysoham/distilbert-base-uncased-finetuned-squad 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...
[ -0.025439752265810966, -0.00772946747019887, -0.016406117007136345, 0.024977928027510643, 0.0333811491727829, 0.020646193996071815, -0.026501143351197243, -0.01027390081435442, -0.03828243166208267, 0.043798062950372696, 0.032469067722558975, -0.026020459830760956, 0.031152039766311646, 0....
Andrey1989/bert-multilingual-finetuned-ner
[]
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
# gta-standard This repo is an attempt to create standardized DreamBooth models where we provide all the creation parameters, input images, output models, and some sample output images. See [this spreadsheet](https://docs.google.com/spreadsheets/d/1wY0M8Wpx8hYj33NHE_gd8tAKzlV0ipdgnFSPevMoEs8/edit#gid=392232919) for de...
[ -0.016541214659810066, -0.01346882339566946, -0.018105268478393555, -0.0013689609477296472, 0.031066764146089554, 0.0165729820728302, 0.004221884999424219, 0.031990546733140945, -0.019766632467508316, 0.044498078525066376, 0.028642993420362473, 0.0036306821275502443, 0.018363283947110176, ...
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: creativeml-openrail-m tags: - stable-diffusion - text-to-image --- # DMVC2_V2 This is an update to Stable Diffusion 2.1 from my own SD trainee with an 2000s videogame illustrations as a style. If you wanna test it, you can put this word on the prompt: DMVC. If you enjoy my work, please consider supportin...
[ -0.014254678972065449, -0.010709569789469242, -0.027021590620279312, 0.02762867696583271, 0.06251177191734314, 0.005488860420882702, 0.013993836008012295, -0.001524236868135631, -0.02849627658724785, 0.0548783615231514, 0.036129385232925415, -0.007813741452991962, 0.0035542582627385855, 0....
Andrey1989/mt5-small-finetuned-mlsum-es
[]
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: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### RBTO_3 Dreambooth model trained by rudzinskimaciej with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Cola...
[ -0.025799166411161423, -0.02240680158138275, -0.03338252753019333, 0.031479768455028534, 0.02696683630347252, 0.023527422919869423, -0.0078009371645748615, -0.007646325975656509, -0.013717367313802242, 0.03131547570228577, 0.042474549263715744, 0.012285705655813217, -0.022618724033236504, ...
AnonymousSub/SR_rule_based_roberta_only_classfn_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
--- license: mit tags: - generated_from_trainer model-index: - name: gpt-expt-sp-v2 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. --> # gpt-expt-sp-v2 This model ...
[ -0.029300859197974205, -0.008706643246114254, -0.010659102350473404, 0.039257388561964035, 0.03199229761958122, 0.020893923938274384, 0.007135971914976835, 0.0095521854236722, -0.0337948203086853, 0.04940783604979515, 0.016643395647406578, -0.023712392896413803, 0.003214405383914709, 0.050...
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
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04237180948257446, -0.0009647810948081315, -0.008359787985682487, 0.04897239804267883, 0.028148088604211807, 0.022782737389206886, -0.0266315508633852, -0.036210913211107254, -0.0053090620785951614, 0.048269689083099365, 0.019122706726193428, -0.008565254509449005, 0.021016303449869156, ...
AnonymousSub/rule_based_only_classfn_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "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...
2
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 ...
[ -0.03752461448311806, -0.0024032415822148323, -0.005646941717714071, 0.02568276971578598, 0.04638881981372833, -0.02145126461982727, -0.005016778130084276, -0.02825830690562725, -0.032741133123636246, 0.06653060764074326, 0.03257447108626366, -0.023305343464016914, 0.022993622347712517, 0....
AnonymousSub/rule_based_roberta_hier_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...
6
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...
[ -0.008047819137573242, 0.00650744466111064, -0.017354784533381462, 0.015797559171915054, 0.058795854449272156, -0.02856331132352352, 0.008742640726268291, -0.033574383705854416, -0.02656012587249279, 0.06535223126411438, 0.027918895706534386, -0.028508929535746574, -0.0013168691657483578, ...
AnonymousSub/rule_based_roberta_hier_triplet_0.1_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...
2
null
--- language: - vi license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: HuyenNguyen results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probabl...
[ -0.04437410086393356, -0.013884063810110092, -0.03196749463677406, 0.036777563393116, 0.04147937893867493, 0.029464116320014, -0.01053362712264061, -0.016549568623304367, -0.03266992047429085, 0.036035191267728806, 0.03620963171124458, -0.012939476408064365, 0.011958385817706585, 0.0328020...
AnonymousSub/rule_based_roberta_hier_triplet_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, "...
25
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017347682267427444, -0.018348852172493935, -0.00776295131072402, 0.030636055395007133, 0.05118643864989281, -0.017022177577018738, -0.011360903270542622, -0.008115598000586033, -0.05892851948738098, 0.05367021635174751, -0.0019723724108189344, -0.008455620147287846, 0.025032762438058853, ...
AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa_copy
[ "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: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017801731824874878, -0.017982784658670425, -0.0061857267282903194, 0.029445761814713478, 0.05273189768195152, -0.01726795919239521, -0.010734230279922485, -0.008245980367064476, -0.05941162630915642, 0.054876212030649185, 0.00007810651004547253, -0.006482792552560568, 0.024398526176810265...
AnonymousSub/rule_based_roberta_only_classfn_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
--- license: apache-2.0 datasets: - coco - conceptual-caption - sbu - flickr30k - vqa - gqa - vg-qa - open-images library_name: pytorch tags: - pytorch - image-to-text --- # Model Card: VinVL for Captioning 🖼️ [Microsoft's VinVL](https://github.com/microsoft/Oscar) base pretrained for **image caption generation** d...
[ -0.0015502171590924263, -0.02367720752954483, 0.0014541037380695343, 0.02559017390012741, 0.05227792635560036, -0.008381563238799572, -0.006751354783773422, -0.007396424654871225, -0.013359489850699902, 0.06035546958446503, 0.02777184545993805, -0.015101811848580837, 0.019992105662822723, ...
AnonymousSub/rule_based_roberta_only_classfn_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
null
--- tags: - FrozenLake-v1-8x8-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8-no_slippery type: Frozen...
[ -0.01955803856253624, -0.01824983023107052, -0.003756645368412137, 0.028520243242383003, 0.05365949496626854, -0.021378489211201668, -0.00937479455024004, -0.010181994177401066, -0.05825931206345558, 0.053428493440151215, -0.004585851915180683, -0.009633149020373821, 0.026445338502526283, ...
AnonymousSub/rule_based_roberta_only_classfn_twostage_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...
2
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.54 +/- 2.73...
[ -0.019737398251891136, -0.016724755987524986, -0.00964928139001131, 0.026800286024808884, 0.04738851636648178, -0.0005462717963382602, -0.01882045529782772, 0.007599916774779558, -0.03713177517056465, 0.05138484016060829, 0.016904018819332123, -0.006246563047170639, 0.01187518984079361, 0....
AnonymousSub/rule_based_roberta_only_classfn_twostage_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
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.48 +/- 2.71 ...
[ -0.018819406628608704, -0.015924599021673203, -0.007837527431547642, 0.02458501234650612, 0.046399280428886414, 0.0004349778755567968, -0.0184453334659338, 0.008328033611178398, -0.037503715604543686, 0.05323789641261101, 0.019808756187558174, -0.0071947635151445866, 0.012583150528371334, ...
AnonymousSub/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...
2
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-uncased-finetuned-imdb 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. -->...
[ -0.013543883338570595, 0.009892205707728863, -0.02862735465168953, 0.043518465012311935, 0.04766121506690979, 0.018277056515216827, -0.022298015654087067, -0.02523670345544815, -0.03466951847076416, 0.06206176057457924, 0.03043367527425289, -0.03459654375910759, 0.016574876382946968, 0.043...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_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, "...
25
null
This is a merged model consisting of Dreamlike DiffusionV1, Hentai Diffusion H17, and Gape60. --- ---
[ -0.03864172846078873, -0.020185301080346107, 0.0016761032165959477, 0.019096864387392998, 0.021724285557866096, 0.019737740978598595, -0.008252189494669437, 0.00815187394618988, 0.004814413376152515, 0.04004981368780136, 0.056230328977108, 0.015902774408459663, 0.011536912061274052, 0.0473...
AnonymousSub/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...
1
2022-12-23T17:37:14Z
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - animal widget: - text: a photo of rio cat in the Acropolis --- # DreamBooth model for the rio concept trained by marshmellow77 on the marshmellow77/pics_rio dataset. This...
[ -0.03784603253006935, -0.03323817625641823, -0.016965825110673904, 0.03463371843099594, 0.03173861280083656, 0.008263610303401947, -0.0001869244733825326, 0.0017508843448013067, -0.015228486619889736, 0.04825597256422043, 0.01989494450390339, -0.00321331643499434, -0.014015080407261848, 0....
AnonymousSub/rule_based_twostagequadruplet_hier_epochs_1_shard_1_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...
28
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.018440507352352142, -0.01814691349864006, -0.00685439258813858, 0.030229289084672928, 0.05080174654722214, -0.01617526262998581, -0.010745728388428688, -0.009159994311630726, -0.05860576778650284, 0.05404378101229668, -0.003388982033357024, -0.007866494357585907, 0.02603873796761036, 0....
AnonymousSub/unsup-consert-base
[ "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
--- language: cop widget: - text: ⲁⲗⲗⲁ ⲁⲛⲟⲕ ⲁⲓⲥⲉⲧⲡⲧⲏⲩⲧⲛ · --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Coptic. * Its suffix is **-mxp**, which means that it was pretrained using supervision from masked language modeling, XPOS tagging, and UD dependency parsing. * The unlabeled Coptic dat...
[ -0.016725193709135056, -0.006931670010089874, -0.014463646337389946, 0.05156559869647026, 0.035936228930950165, 0.02446119673550129, -0.00554630346596241, 0.008087372407317162, -0.004557010252028704, 0.06640415638685226, 0.02107097953557968, -0.020826246589422226, -0.00041308056097477674, ...
AnonymousSub/unsup-consert-base_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...
6
null
--- language: ind widget: - text: Lalu bagaimana dengan kisah cinta Mutia dan Fadel? --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Indonesian. * Its suffix is **-m**, which means that it was pretrained using supervision from masked language modeling. * The unlabeled Indonesian data was ta...
[ 0.003854021430015564, -0.0359504260122776, -0.024734804406762123, 0.04227413237094879, 0.032800085842609406, 0.025701170787215233, -0.006111279595643282, -0.014952153898775578, -0.007765039801597595, 0.08215317130088806, 0.04621346294879913, -0.02965681627392769, -0.005191825795918703, 0.0...
AnonymousSub/unsup-consert-base_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...
26
null
--- language: ind widget: - text: Lalu bagaimana dengan kisah cinta Mutia dan Fadel? --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Indonesian. * Its suffix is **-mx**, which means that it was pretrained using supervision from masked language modeling and XPOS tagging. * The unlabeled Indo...
[ 0.006758120842278004, -0.036637045443058014, -0.022236986085772514, 0.04029650241136551, 0.029437480494379997, 0.029345229268074036, -0.007044525817036629, -0.015127447433769703, -0.005103415809571743, 0.08553031831979752, 0.04491385817527771, -0.031249310821294785, -0.006398967932909727, ...
AnonymousSub/unsup-consert-base_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "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...
2
null
--- language: ind widget: - text: Lalu bagaimana dengan kisah cinta Mutia dan Fadel? --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Indonesian. * Its suffix is **-mxp**, which means that it was pretrained using supervision from masked language modeling, XPOS tagging, and UD dependency pars...
[ 0.0022129416465759277, -0.03696362301707268, -0.02561262436211109, 0.040633175522089005, 0.02854391559958458, 0.02954714559018612, -0.007911067456007004, -0.01564359851181507, -0.005093152169138193, 0.08827725797891617, 0.04141426458954811, -0.03176664933562279, -0.0044594113714993, 0.0409...
AnonymousSub/unsup-consert-emanuals
[ "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: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-uncasedsexist_baseline 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. -->...
[ -0.019145019352436066, -0.0031431650277227163, -0.03719474375247955, 0.04458213970065117, 0.055065058171749115, 0.026476917788386345, -0.01270083524286747, -0.01579667069017887, -0.05129200965166092, 0.06587892025709152, 0.028696978464722633, -0.015501136891543865, 0.024817127734422684, 0....
AnonymousSub/unsup-consert-papers
[ "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: mlt widget: - text: Hu rrifjuta l-akkużi li l-Gvern Malti qed jimxi bi djufija. --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Maltese. * Its suffix is **-m**, which means that it was pretrained using supervision from masked language modeling. * The unlabeled Maltese data was...
[ -0.0006705612177029252, -0.022374022752046585, -0.01715501770377159, 0.05327583849430084, 0.05621891841292381, 0.026061447337269783, 0.002486924408003688, -0.0046524424105882645, -0.017304496839642525, 0.06827646493911743, 0.02957223169505596, -0.03956194221973419, -0.0076226117089390755, ...
AnonymousSubmission/pretrained-model-1
[]
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
--- language: mlt widget: - text: Hu rrifjuta l-akkużi li l-Gvern Malti qed jimxi bi djufija. --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Maltese. * Its suffix is **-mx**, which means that it was pretrained using supervision from masked language modeling and XPOS tagging. * The unlabele...
[ 0.002795236650854349, -0.02338312566280365, -0.015388967469334602, 0.0510910227894783, 0.053445324301719666, 0.029284348711371422, 0.0018893504748120904, -0.0038991947658360004, -0.016264496371150017, 0.0710877999663353, 0.02838098257780075, -0.041047353297472, -0.00982400681823492, 0.0304...
Anthos23/test_trainer
[]
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
2022-12-23T17:56:14Z
--- language: wol widget: - text: Looloo taxoon ñuy réew yu naat. --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Wolof. * Its suffix is **-m**, which means that it was pretrained using supervision from masked language modeling. * The unlabeled Wolof data was taken from a February 2022 dump...
[ -0.026424022391438484, -0.016270749270915985, -0.018951179459691048, 0.05507301911711693, 0.04874277859926224, 0.03372926637530327, 0.010648820549249649, -0.006998075172305107, -0.022707827389240265, 0.06102188304066658, 0.05056064948439598, -0.02002730593085289, -0.011916794814169407, 0.0...
AntonClaesson/finetuning_test
[]
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
--- language: wol widget: - text: Looloo taxoon ñuy réew yu naat. --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Wolof. * Its suffix is **-mx**, which means that it was pretrained using supervision from masked language modeling and XPOS tagging. * The unlabeled Wolof data was taken from a ...
[ -0.022137941792607307, -0.018149791285395622, -0.018597029149532318, 0.052869394421577454, 0.04497068002820015, 0.03670097887516022, 0.009896935895085335, -0.006758440285921097, -0.02139459364116192, 0.06388549506664276, 0.0481666699051857, -0.021620864048600197, -0.013958854600787163, 0.0...
AntonClaesson/movie-plot-generator
[ "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...
9
null
--- language: wol widget: - text: Looloo taxoon ñuy réew yu naat. --- This is a [MicroBERT](https://github.com/lgessler/microbert) model for Wolof. * Its suffix is **-mxp**, which means that it was pretrained using supervision from masked language modeling, XPOS tagging, and UD dependency parsing. * The unlabeled Wol...
[ -0.02528466284275055, -0.018120327964425087, -0.02245999127626419, 0.05377203971147537, 0.0426858551800251, 0.037016768008470535, 0.00811474397778511, -0.008356827311217785, -0.01926054060459137, 0.06803581863641739, 0.045353952795267105, -0.021791378036141396, -0.013057881034910679, 0.022...
Antony/mint_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
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi-v3-2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.020027322694659233, -0.016125667840242386, -0.006950431503355503, 0.02793164737522602, 0.04531986266374588, 0.0007097909110598266, -0.018544577062129974, 0.0057919565588235855, -0.0358286127448082, 0.05262865126132965, 0.015916816890239716, -0.0065124062821269035, 0.012908046133816242, ...
Anubhav23/IndianlegalBert
[]
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
--- language: - vi license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: HuyenNguyen results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probabl...
[ -0.04437410086393356, -0.013884063810110092, -0.03196749463677406, 0.036777563393116, 0.04147937893867493, 0.029464116320014, -0.01053362712264061, -0.016549568623304367, -0.03266992047429085, 0.036035191267728806, 0.03620963171124458, -0.012939476408064365, 0.011958385817706585, 0.0328020...
gaurishhs/API
[]
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: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.01625913940370083, -0.017561258748173714, -0.00598096800968051, 0.030519889667630196, 0.05133908614516258, -0.017159031704068184, -0.010778074152767658, -0.008373971097171307, -0.05818257853388786, 0.053253524005413055, -0.0039825644344091415, -0.008713292889297009, 0.025193791836500168, ...
Apoorva/k2t-test
[ "pytorch", "t5", "text2text-generation", "en", "transformers", "keytotext", "k2t", "Keywords to Sentences", "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...
7
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### ARCANE-DIFFUSION-ME Dreambooth model trained by Joeythemonster with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept vi...
[ -0.03458479046821594, -0.020668741315603256, -0.034132715314626694, 0.03168122097849846, 0.026643654331564903, 0.019655009731650352, -0.002913758624345064, -0.008596175350248814, -0.020397860556840897, 0.0266532264649868, 0.03688737377524376, 0.02580735646188259, -0.02100243791937828, 0.03...
Appolo/TestModel
[]
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 ...
[ -0.04168358072638512, -0.016712361946702003, -0.017750538885593414, 0.03327833116054535, 0.05031409487128258, -0.004988978151232004, -0.014026387594640255, -0.026011822745203972, -0.03185927867889404, 0.05288320034742355, 0.022159364074468613, -0.031321700662374496, 0.018248924985527992, 0...
ArBert/albert-base-v2-finetuned-ner-agglo-twitter
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
27
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 ...
[ -0.04034830629825592, -0.018130244687199593, -0.01617848128080368, 0.03429708257317543, 0.05021023377776146, -0.004288451746106148, -0.014098226092755795, -0.025786390528082848, -0.030729103833436966, 0.053086865693330765, 0.020725974813103676, -0.03177599981427193, 0.016880027949810028, 0...
ArBert/albert-base-v2-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - cifar100 metrics: - accuracy model-index: - name: swin-tiny-finetuned-cifar100 results: - task: name: Image Classification type: image-classification dataset: name: cifar100 type: cifar100 args: cifar100 metrics...
[ -0.008405888453125954, 0.0005245626089163125, -0.003779445542022586, 0.03614949434995651, 0.04582323133945465, -0.0015270577277988195, -0.031710185110569, 0.007353438530117273, -0.013132395222783089, 0.06603813916444778, 0.007539278361946344, -0.01617513597011566, 0.004138267133384943, 0.0...
ArBert/bert-base-uncased-finetuned-ner-agglo
[]
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
2022-12-23T19:04:17Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04086584597826004, -0.0014975026715546846, -0.007354531902819872, 0.048651982098817825, 0.02920542284846306, 0.022466536611318588, -0.024330323562026024, -0.0363234281539917, -0.007305084727704525, 0.049792297184467316, 0.01896529458463192, -0.00999036617577076, 0.019601184874773026, 0....
ArBert/bert-base-uncased-finetuned-ner-kmeans-twitter
[]
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: - autotrain - translation language: - en - es datasets: - Tritkoman/autotrain-data-abjsbjajabs co2_eq_emissions: emissions: 186.95204500157936 --- # Model Trained Using AutoTrain - Problem type: Translation - Model ID: 2590578831 - CO2 Emissions (in grams): 186.9520 ## Validation Metrics - Loss: 1.098 -...
[ -0.018715359270572662, -0.014338953420519829, 0.007917090319097042, 0.022562453523278236, 0.057346805930137634, 0.015123493038117886, -0.014978623017668724, -0.011648735962808132, -0.044023461639881134, 0.06358436495065689, -0.00048734137089923024, -0.002672497183084488, -0.00459069292992353...
ArBert/roberta-base-finetuned-ner-agglo-twitter
[ "pytorch", "tensorboard", "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_...
12
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Mustafa_Kemal_Ataturkv2 Dreambooth model trained by Extraphy with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via ...
[ -0.018513968214392662, -0.018895192071795464, -0.033755578100681305, 0.03599235415458679, 0.02158462256193161, 0.027283795177936554, -0.006107639987021685, -0.0024341715034097433, -0.021064499393105507, 0.03700301796197891, 0.03982546180486679, 0.013887742534279823, -0.01941046305000782, 0...
ArBert/roberta-base-finetuned-ner-gmm-twitter
[]
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 ...
[ -0.03735021501779556, -0.0033289953134953976, -0.005044601857662201, 0.025763481855392456, 0.045689117163419724, -0.0211204681545496, -0.005312978755682707, -0.028026508167386055, -0.033515170216560364, 0.06642665714025497, 0.0320725180208683, -0.02350706234574318, 0.023435279726982117, 0....
ArBert/roberta-base-finetuned-ner-kmeans-twitter
[ "pytorch", "tensorboard", "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_...
10
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### bekiksriii Dreambooth model trained by WALIDALI with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [...
[ -0.024928847327828407, -0.026048526167869568, -0.024637404829263687, 0.025756867602467537, 0.025276999920606613, 0.023163465782999992, -0.005435239523649216, -0.008135490119457245, -0.01117460336536169, 0.03498315438628197, 0.041822366416454315, 0.008027790114283562, -0.020785383880138397, ...
ArBert/roberta-base-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "roberta", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:mit", "model-index", "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_...
8
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - samsum metrics: - rouge model-index: - name: flan-t5-base-samsum results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: samsum type: samsum config: samsum split...
[ -0.020047998055815697, -0.011484787799417973, 0.0013455073349177837, 0.04315602779388428, 0.036562032997608185, 0.007512963376939297, -0.005593794398009777, -0.02523980475962162, -0.0419640988111496, 0.04644785448908806, 0.033285871148109436, -0.02092529460787773, 0.0007639669929631054, 0....
ArashEsk95/bert-base-uncased-finetuned-cola
[]
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: MLPPolicy results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-...
[ -0.03773791342973709, -0.0006497683934867382, -0.0027759564109146595, 0.027384109795093536, 0.034422822296619415, -0.019528821110725403, -0.007952628657221794, -0.026010002940893173, -0.026863574981689453, 0.061953336000442505, 0.034095317125320435, -0.027747949585318565, 0.02104983478784561...
AriakimTaiyo/DialoGPT-small-Kumiko
[ "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...
11
null
--- license: creativeml-openrail-m widget: - text: 'naturitize ' --- ### Jak's **Naturitize** Image Pack (SD 1.5) for Stable Diffusion -------------------- Another Jak Texture Pack Release is here to help create your earthy, creations! Trained using 112 (768px) training images, 8000 training steps, 500 Text_Encode...
[ -0.039632510393857956, 0.009306252002716064, -0.04394099488854408, 0.02215297892689705, 0.04760767146945, 0.014329921454191208, 0.029566524550318718, 0.007833052426576614, -0.01970219984650612, 0.04612753912806511, 0.011962972581386566, 0.012611158192157745, 0.009748748503625393, 0.0770093...
Arkadiusz/Test-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
2022-12-23T21:12:29Z
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - wildcard widget: - text: a ultradetailed beautiful panting of a stylish arckt rocket launch, with smoke, and flames,, by conrad roset, greg rutkowski and makoto shinkai...
[ -0.02891712822020054, -0.02527252957224846, -0.027327097952365875, 0.033036988228559494, 0.03761427849531174, 0.00840806495398283, 0.007377195172011852, -0.004982010927051306, -0.009806700050830841, 0.05445117875933647, 0.030629824846982956, 0.022729048505425453, -0.018642280250787735, 0.0...
Atampy26/GPT-Glacier
[ "pytorch", "gpt_neo", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
5
2022-12-23T22:54:44Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi3-qlearning results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.48 +/...
[ -0.020492717623710632, -0.016360342502593994, -0.008188906125724316, 0.027055708691477776, 0.04464578256011009, -0.0014932439662516117, -0.01967652142047882, 0.006197432521730661, -0.03603706136345863, 0.053237978368997574, 0.01572011224925518, -0.008383383974432945, 0.012485412880778313, ...
Atarax/rick
[]
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: mit tags: - generated_from_trainer model-index: - name: bert-base-german-cased-finetuned-200labels-notrandom 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 comme...
[ -0.021259309723973274, 0.01238531619310379, -0.00914281327277422, 0.04012725502252579, 0.03597411885857582, 0.014154363423585892, -0.018278082832694054, -0.015290776267647743, -0.035026032477617264, 0.06305952370166779, 0.0044082775712013245, -0.030747734010219574, 0.028646929189562798, 0....
Atchuth/DialoGPT-small-MBOT
[]
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
2022-12-23T22:57:47Z
--- language: - fr pipeline_tag: fill-mask widget: - text: "Voila les <mask> de retour. Ça faisait longtemps que j’en avais pas vu sur blé." example_title: "limace" - text: "C’est bon le maïs , pour la <mask> . Dans le 64, les larves les plus âgées prennent des force avant de se chrysalider et faire une 2 è génératio...
[ 0.003615034744143486, -0.03471542149782181, 0.004114956129342318, 0.03219912573695183, 0.06562519818544388, 0.010068563744425774, -0.023710714653134346, -0.017192823812365532, -0.02258956991136074, 0.053099703043699265, -0.000997949973680079, -0.015487723983824253, -0.017641356214880943, 0...
Ateeb/QA
[ "pytorch", "distilbert", "question-answering", "transformers", "autotrain_compatible" ]
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, ...
4
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - wildcard widget: - text: a photo of miffy rabbit (insert your choice of action) --- # DreamBooth model for miffy the rabbit concept. This is a Stable Diffusion model fine...
[ -0.01631896197795868, -0.026051616296172142, -0.03140506520867348, 0.03317362815141678, 0.03682855889201164, 0.018573857843875885, 0.0028231751639395952, -0.0051179067231714725, -0.014295550994575024, 0.04974616318941116, 0.0259846318513155, 0.0021124801132827997, -0.011198288761079311, 0....
Augustab/distilbert-base-uncased-finetuned-cola
[]
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
2022-12-23T23:50:24Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.018629683181643486, -0.01844390109181404, -0.008345473557710648, 0.030844394117593765, 0.052988387644290924, -0.017178090289235115, -0.011685602366924286, -0.007794674020260572, -0.058817096054553986, 0.053746599704027176, -0.0023869192227721214, -0.009149732068181038, 0.02382374554872512...