modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
card
stringlengths
51
438k
embedding
list
Davlan/bert-base-multilingual-cased-finetuned-igbo
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
15
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/clinic-kitchen_and_dining-roberta This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an effic...
[ -0.012728658504784107, -0.031461309641599655, -0.007304270286113024, 0.06278371810913086, 0.026621311902999878, 0.024326493963599205, -0.026227617636322975, 0.0006706122658215463, -0.03682935610413551, 0.06716173142194748, 0.021597249433398247, 0.024474650621414185, 0.02688523195683956, 0....
Davlan/bert-base-multilingual-cased-finetuned-luo
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- license: creativeml-openrail-m language: - en tags: - anime - art - stable diffusion pipeline_tag: text-to-image library_name: diffusers --- MeinaMix Objective is to be able to do good art with little prompting. * For examples and prompts, please checkout: https://civitai.com/models/7240/meinamix I have a discor...
[ -0.011777842417359352, -0.025997713208198547, -0.0012096586870029569, 0.0335409939289093, 0.03572862967848778, 0.020176347345113754, 0.007969210855662823, -0.011415967717766762, -0.03434227406978607, 0.06801000237464905, 0.029605580493807793, 0.0002748439146671444, -0.004896668717265129, 0...
Davlan/bert-base-multilingual-cased-finetuned-wolof
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- language: en thumbnail: http://www.huggingtweets.com/shawarmersa/1675847296427/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; wid...
[ 0.004580673296004534, -0.03622140362858772, 0.0019815806299448013, 0.05364338308572769, 0.05028920620679855, 0.010581226088106632, -0.01900196261703968, -0.009180125780403614, -0.04690776765346527, 0.03406475856900215, 0.0142953060567379, -0.0022004840429872274, -0.015013262629508972, 0.02...
Davlan/bert-base-multilingual-cased-masakhaner
[ "pytorch", "tf", "bert", "token-classification", "arxiv:2103.11811", "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...
88
null
--- tags: - autotrain - vision - image-classification datasets: - Ailyth/autotrain-data-3lables widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_title: Teapot - ...
[ -0.006254028994590044, -0.017067136242985725, 0.010286137461662292, 0.040664076805114746, 0.05505944788455963, -0.00028433214174583554, -0.022738255560398102, -0.004703497048467398, -0.03614258021116257, 0.06717713177204132, -0.0008035755599848926, -0.00034226602292619646, 0.0080884099006652...
Davlan/xlm-roberta-base-finetuned-xhosa
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
12
null
--- datasets: - EvaKlimentova/knots_AF --- # M1 - finetuned ProtBert-BFD The model is trained on [knots_AF dataset](https://huggingface.co/datasets/EvaKlimentova/knots_AF) The accuracy on the test set is ~ 0.9848 | M1 ProtBert BFD | Dataset size | Unknotted set size | Accuracy | TPR | TNR | |:---...
[ -0.012822619639337063, -0.03127695620059967, 0.019008319824934006, 0.022868836298584938, 0.03614107891917229, 0.018545448780059814, -0.030294356867671013, -0.01817113533616066, -0.04933803901076317, 0.037251994013786316, -0.006915931589901447, -0.02516394481062889, 0.01369031984359026, 0.0...
Dawn576/Dawn
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: finetuned_bert-base-uncased 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 com...
[ -0.0105523020029068, 0.00744491396471858, -0.017371397465467453, 0.029210785403847694, 0.03372153639793396, 0.010811233893036842, -0.02723778784275055, -0.018494151532649994, -0.04814441502094269, 0.04920005053281784, 0.006534927990287542, -0.02885858342051506, 0.0333564430475235, 0.040264...
Dayout/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: - 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...
[ -0.015829699113965034, -0.018496224656701088, -0.00587688060477376, 0.02801741100847721, 0.050387587398290634, -0.013826936483383179, -0.011989942751824856, -0.00697706313803792, -0.0588156133890152, 0.0561683252453804, -0.0003792663919739425, -0.009459122084081173, 0.027482546865940094, 0...
Dazai/Ko
[]
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: - hi license: apache-2.0 tags: - generated_from_trainer datasets: - logistics model-index: - name: Whisper small 2 - BeaW 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 rem...
[ -0.032025985419750214, 0.012443922460079193, -0.012498225085437298, 0.054055798798799515, 0.0500996857881546, 0.0171293243765831, 0.0012490868102759123, 0.015275550074875355, -0.009427781216800213, 0.05456073582172394, 0.04799219220876694, -0.019286194816231728, -0.006061287596821785, 0.03...
Dbluciferm3737/Idk
[]
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...
[ -0.051204316318035126, 0.008070566691458225, -0.007996932603418827, 0.058699723333120346, 0.02799176424741745, 0.031257063150405884, -0.0039075142703950405, -0.03487075865268707, -0.003873752197250724, 0.05205677077174187, 0.018820563331246376, -0.014203515835106373, 0.007939274422824383, ...
DeadBeast/emoBERTTamil
[ "pytorch", "tensorboard", "bert", "text-classification", "dataset:tamilmixsentiment", "transformers", "generated_from_trainer", "license:apache-2.0" ]
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...
35
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 ...
[ -0.037738136947155, -0.016239233314990997, -0.015444368124008179, 0.03748695179820061, 0.047753334045410156, -0.0057938783429563046, -0.013088421896100044, -0.024774955585598946, -0.03105129487812519, 0.05527139827609062, 0.021964114159345627, -0.034606434404850006, 0.018911736086010933, 0...
Declan/Breitbart_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: cc-by-nc-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned 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...
[ -0.05336211994290352, -0.00961519405245781, 0.014188218861818314, 0.020809246227145195, 0.043518174439668655, 0.008331268094480038, -0.0053898971527814865, -0.013784661889076233, -0.033973801881074905, 0.04337899386882782, 0.02322336845099926, -0.0256967730820179, 0.014177948236465454, 0.0...
Declan/Breitbart_model_v7
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de-fr 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 commen...
[ -0.035787079483270645, -0.014930381439626217, 0.004375485237687826, 0.030011802911758423, 0.02282160148024559, 0.02187049202620983, -0.018615730106830597, -0.008521018549799919, -0.030616426840424538, 0.04538031667470932, 0.024148888885974884, -0.05273766070604324, 0.009868137538433075, 0....
Declan/CNN_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-02-08T11:21:17Z
--- 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...
[ -0.041129451245069504, -0.002968472195789218, -0.007676241919398308, 0.047986891120672226, 0.030391423031687737, 0.0220587570220232, -0.025371959432959557, -0.038555044680833817, -0.006646501831710339, 0.050684038549661636, 0.019650239497423172, -0.00982572603970766, 0.020202696323394775, ...
Declan/FoxNews_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.04518800228834152, -0.0006064147455617785, -0.022084128111600876, 0.03242810443043709, 0.04380189999938011, 0.017946286126971245, -0.017838874831795692, -0.030222827568650246, -0.03705063834786415, 0.06936900317668915, 0.021796800196170807, 0.0030325446277856827, 0.015408424660563469, 0...
Declan/HuffPost_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: multiqa_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove thi...
[ -0.02451452799141407, -0.016915110871195793, -0.005777914077043533, 0.03698742017149925, 0.034440040588378906, 0.012718903832137585, -0.005586868152022362, -0.01962491311132908, -0.036359068006277084, 0.04203879460692406, 0.02418510988354683, -0.0353589691221714, 0.013557972386479378, 0.03...
Declan/Reuters_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: flan_t5_summarization 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. -->...
[ -0.013970925472676754, -0.014580560848116875, -0.0019278184045106173, 0.047848913818597794, 0.038037899881601334, -0.01579056680202484, -0.020272841677069664, -0.013625252060592175, -0.030638569965958595, 0.038131363689899445, 0.023690788075327873, -0.02893703244626522, 0.002504980657249689,...
Declan/Reuters_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Fine tune the ### concept name: photoreal-v2.5-custom ### Training steps: 1500 ### Text encoder steps: 350% of Training steps Sample pictures of this concept:
[ -0.009502734057605267, 0.006050930358469486, -0.034046947956085205, 0.01798401214182377, 0.05030440911650658, 0.002338085789233446, 0.01647063158452511, -0.0022909417748451233, -0.006201986223459244, 0.035951387137174606, 0.03916516527533531, 0.00033556384732946754, -0.015185556374490261, ...
Declan/WallStreetJournal_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021635476499795914, -0.005595725495368242, 0.010652059689164162, 0.039697129279375076, 0.03199043497443199, 0.01652853563427925, -0.028518417850136757, -0.016034459695219994, -0.0157200638204813, 0.06213986501097679, 0.007908006198704243, -0.0005467059090733528, 0.01053895428776741, 0.0...
Declan/WallStreetJournal_model_v6
[]
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: - ja library_name: transformers tags: - conversational - ja - japanese - gpt2 - text-generation - lm - nlp --- # Japanese DialoGPT trained with Aozora **(ja) 青空文庫のセリフで学習した日本語のDialoGPT Smallです** **(en) Japanese DialoGPT Small trained on Aozora Bunko.** ## [Demo](https://huggingface.co/s...
[ -0.022061150521039963, -0.021053293719887733, 0.012710110284388065, 0.06971191614866257, 0.024258585646748543, 0.01615922711789608, 0.01259932667016983, -0.018218932673335075, -0.042282648384571075, 0.054861243814229965, 0.010559912770986557, -0.025436436757445335, 0.001887415535748005, 0....
Declan/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
null
--- tags: - spacy - token-classification language: - en model-index: - name: en_pipeline results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 1.0 - name: NER Recall type: recall value: 1.0 - name: NER F Score ...
[ 0.017764607444405556, -0.015742255374789238, -0.005686611402779818, 0.031576141715049744, 0.060211073607206345, 0.016811614856123924, -0.02469184622168541, -0.008874673396348953, -0.044839758425951004, 0.05701644346117973, 0.03341713920235634, 0.004812616854906082, 0.015187166631221771, 0....
Declan/test_push
[]
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...
[ -0.015687832608819008, -0.019583366811275482, -0.004803999327123165, 0.03054806962609291, 0.05126107856631279, -0.01846708171069622, -0.010580151341855526, -0.00845352653414011, -0.05884629860520363, 0.054954588413238525, -0.001617689966224134, -0.008726677857339382, 0.025751976296305656, ...
DeepChem/ChemBERTa-10M-MLM
[ "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...
90
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2...
[ -0.01735321618616581, -0.018837474286556244, -0.006934170611202717, 0.02783823013305664, 0.04808008670806885, -0.002671299036592245, -0.017621390521526337, 0.005924115423113108, -0.036206189543008804, 0.05355251953005791, 0.017257533967494965, -0.005580529570579529, 0.012184877879917622, 0...
DeepChem/ChemBERTa-10M-MTR
[ "pytorch", "roberta", "arxiv:1910.09700", "transformers" ]
null
{ "architectures": [ "RobertaForRegression" ], "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_ng...
708
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: 7.52 +/- 2.73...
[ -0.016642622649669647, -0.01862368732690811, -0.0065125166438519955, 0.027680622413754463, 0.047809451818466187, -0.0022042496129870415, -0.01830882579088211, 0.006133900955319405, -0.03645012900233269, 0.05294336751103401, 0.01792982779443264, -0.00561422249302268, 0.01212460920214653, 0....
DeepChem/ChemBERTa-5M-MTR
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "RobertaForRegression" ], "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_ng...
13
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_social-roberta-large-v1-2 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an effic...
[ -0.01509992964565754, -0.028738180175423622, -0.005903980694711208, 0.0597141794860363, 0.02849247120320797, 0.022971434518694878, -0.03068092279136181, -0.0027225895319133997, -0.03777356073260307, 0.0659726932644844, 0.02993331477046013, 0.019968263804912567, 0.03066200390458107, 0.02471...
DeepESP/gpt2-spanish
[ "pytorch", "tf", "jax", "gpt2", "text-generation", "es", "dataset:ebooks", "transformers", "GPT-2", "Spanish", "ebooks", "nlg", "license:mit", "has_space" ]
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...
1,463
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-large-cased-sigir-support-no-label-20-sigir-tune2nd-LR10-labelled-30 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complet...
[ -0.015532132238149643, 0.003333045868203044, -0.027295399457216263, 0.04673304781317711, 0.05106450989842415, 0.008699358440935612, -0.03219067305326462, -0.01971665769815445, -0.036592282354831696, 0.06983982771635056, 0.010562640614807606, -0.02410275861620903, 0.015427671372890472, 0.04...
DeepPavlov/marianmt-tatoeba-enru
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: reinforce-pixelcopter-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04278501123189926, 0.014104634523391724, 0.013738483190536499, 0.020185668021440506, 0.04933100566267967, -0.013701612129807472, -0.01977371983230114, -0.027311068028211594, -0.017812203615903854, 0.06604829430580139, 0.03623044863343239, -0.008958741091191769, 0.00779740558937192, -0.0...
DeepPavlov/rubert-base-cased
[ "pytorch", "jax", "bert", "feature-extraction", "ru", "arxiv:1905.07213", "transformers", "has_space" ]
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...
148,127
null
--- license: mit datasets: - trivia_qa language: - en pipeline_tag: question-answering --- This model was finetuned with the base model microsoft/xtremedistil-l6-h256-uncased on the TriviQA dataset for the course NLP4Web at TU Darmstadt 2023.
[ -0.0010108047863468528, -0.001971995458006859, -0.005510479211807251, 0.03457073122262955, 0.02440820448100567, 0.012278522364795208, 0.004068887326866388, 0.021831657737493515, -0.03151034191250801, 0.040766071528196335, 0.03218856826424599, 0.008610827848315239, 0.0032758486922830343, 0....
DeepPavlov/xlm-roberta-large-en-ru-mnli
[ "pytorch", "xlm-roberta", "text-classification", "en", "ru", "dataset:glue", "dataset:mnli", "transformers", "xlm-roberta-large", "xlm-roberta-large-en-ru", "xlm-roberta-large-en-ru-mnli", "has_space" ]
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, ...
227
null
--- datasets: - beans --- # Custom neural network This is a custom neural network that will be trained on the [Beans dataset](https://huggingface.co/datasets/beans).
[ -0.048498235642910004, 0.01994979754090309, 0.005990172270685434, 0.016792118549346924, 0.02070014551281929, 0.005841217003762722, -0.034969039261341095, -0.017249219119548798, -0.006914385594427586, 0.042201507836580276, 0.019989533349871635, 0.023622332140803337, 0.0010293296072632074, 0...
DeividasM/wav2vec2-large-xlsr-53-lithuanian
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "lt", "dataset:common_voice", "transformers", "audio", "speech", "xlsr-fine-tuning-week", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
7
null
--- license: cc-by-nc-4.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: videomae-base-finetuned 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. --...
[ -0.06830869615077972, -0.01715039648115635, 0.014721544459462166, 0.02280331775546074, 0.040489379316568375, 0.018191484734416008, -0.0051955352537333965, -0.009438076056540012, -0.0370948389172554, 0.043568629771471024, 0.03432388976216316, -0.016331136226654053, 0.016337696462869644, 0.0...
DeltaHub/adapter_t5-3b_qnli
[ "pytorch", "transformers" ]
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...
3
null
--- tags: - Pong-v4 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pong-v4 type: Pong-v4 metrics: - type: mean_...
[ -0.009754671715199947, -0.00007481376815121621, 0.008050587959587574, 0.04141400381922722, 0.02669500559568405, -0.0248210858553648, -0.02210455946624279, -0.022444311529397964, -0.026955565437674522, 0.05431963875889778, -0.0063543603755533695, -0.0006861457950435579, 0.0037188592832535505,...
DemangeJeremy/4-sentiments-with-flaubert
[ "pytorch", "flaubert", "text-classification", "fr", "transformers", "sentiments", "french", "flaubert-large" ]
text-classification
{ "architectures": [ "FlaubertForSequenceClassification" ], "model_type": "flaubert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
226
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 ...
[ -0.039565183222293854, -0.016457809135317802, -0.015830865129828453, 0.03685732185840607, 0.04893990233540535, -0.004474098794162273, -0.01334880106151104, -0.025359179824590683, -0.031166210770606995, 0.05374353379011154, 0.022911828011274338, -0.032684508711099625, 0.018555140122771263, ...
Denilson/gbert-base-germaner
[]
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 tags: - generated_from_trainer - code - codegen - assembly model-index: - name: santacoder-finetuned-the-stack-cobol results: [] datasets: - bigcode/the-stack-dedup language: - code pipeline_tag: text-generation library_name: transformers --- <!-- This model card has been generated automaticall...
[ -0.013015749864280224, -0.018330421298742294, 0.00020976785162929446, 0.04824725165963173, 0.0454525463283062, 0.038092613220214844, -0.035407230257987976, -0.007066634017974138, -0.03179064765572548, 0.05609580874443054, 0.013379097916185856, -0.0015441172290593386, -0.010858185589313507, ...
Denny29/DialoGPT-medium-asunayuuki
[ "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...
9
null
--- license: cc-by-2.0 --- + Amemori_Sayo: ![image](https://huggingface.co/regnore/Amemori_Sayo_LoRA/resolve/main/img/1.png) + Amemori_Sayo_NF: ![image](https://huggingface.co/regnore/Amemori_Sayo_LoRA/resolve/main/img/nf.png) + additional prompts you may need to get better results: `black hair`, `sailo...
[ -0.014860517345368862, -0.056564196944236755, 0.0018972087418660522, 0.03572779893875122, 0.020429499447345734, -0.01704973168671131, -0.0043612755835056305, 0.02280339226126671, -0.053071100264787674, 0.04052812233567238, 0.03431076556444168, 0.01824023760855198, 0.013997634872794151, 0.0...
Denver/distilbert-base-uncased-finetuned-squad
[]
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...
[ -0.019894355908036232, -0.017800219357013702, -0.007090659346431494, 0.030244700610637665, 0.05026587098836899, -0.017011044546961784, -0.010484002530574799, -0.009266439825296402, -0.05794566869735718, 0.05314863845705986, -0.0015304313274100423, -0.007938584312796593, 0.024693192914128304,...
DeskDown/MarianMixFT_en-fil
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - Pong-v4 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pong-v4 type: Pong-v4 metrics: - type: mean_...
[ -0.010542275384068489, 0.0004391223774291575, 0.007692856248468161, 0.04044177755713463, 0.027468809857964516, -0.025544708594679832, -0.02103324793279171, -0.023464560508728027, -0.02543102577328682, 0.053427621722221375, -0.005264023784548044, 0.0004646795568987727, 0.004794186446815729, ...
DeskDown/MarianMixFT_en-hi
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: cc-by-nc-4.0 --- MBW for xmdp.WD xilmo - 1, 0.5, 0.5, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1 dpep - 0, 0.5, 0.5, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0
[ -0.04821344092488289, -0.009667436592280865, 0.013045158237218857, 0.01656194217503071, 0.03723093122243881, 0.018983371555805206, 0.003483727341517806, 0.007386376615613699, -0.012483936734497547, 0.040482670068740845, 0.04582711309194565, -0.051083214581012726, 0.002665603533387184, 0.02...
DeskDown/MarianMixFT_en-ms
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03095507062971592, -0.0025920227635651827, -0.01917879842221737, 0.05034394562244415, 0.040530283004045486, 0.02591799385845661, -0.0009313931805081666, -0.03602895885705948, -0.029064074158668518, 0.048862483352422714, 0.02408825233578682, -0.0049614268355071545, 0.019796190783381462, ...
DeskDown/MarianMixFT_en-my
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "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 tags: - generated_from_trainer datasets: - billsum model-index: - name: my_awesome_billsum_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.0196323674172163, -0.010568777099251747, -0.009839427657425404, 0.01894555240869522, 0.004441746510565281, 0.0310430396348238, -0.0027770744636654854, -0.014310493133962154, -0.04365330934524536, 0.049161750823259354, 0.0662904754281044, 0.005183652509003878, -0.00026005730614997447, 0....
DeskDown/MarianMixFT_en-th
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
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...
[ -0.016581794247031212, -0.018802177160978317, -0.006440712139010429, 0.030415669083595276, 0.05134071409702301, -0.016767876222729683, -0.01140209473669529, -0.009077544324100018, -0.06028375402092934, 0.054535895586013794, -0.0020875546615570784, -0.00865847710520029, 0.02674991637468338, ...
DeskDown/MarianMix_en-zh-10
[ "pytorch", "tensorboard", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
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: 7.56 +/- 2.71...
[ -0.01901243068277836, -0.016740664839744568, -0.007325680460780859, 0.026236414909362793, 0.047358110547065735, -0.00016467868408653885, -0.01907084882259369, 0.006658823229372501, -0.03858182951807976, 0.05324101820588112, 0.016555428504943848, -0.006406969856470823, 0.013824090361595154, ...
DeskDown/MarianMix_en-zh_to_vi-ms-hi-ja
[ "pytorch", "tensorboard", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- tags: - 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...
[ -0.01665760949254036, -0.01816563494503498, -0.006415941286832094, 0.02928312122821808, 0.05179961025714874, -0.017644748091697693, -0.011474153026938438, -0.009147854521870613, -0.05931515991687775, 0.05459902063012123, -0.0013687466271221638, -0.0100320465862751, 0.02601427584886551, 0.0...
Devrim/prism-default
[ "license:mit" ]
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: taxiv3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.40 +/- 2.76 ...
[ -0.018136335536837578, -0.015028348192572594, -0.0068726688623428345, 0.02547590807080269, 0.04597286134958267, -0.001752639771439135, -0.020169513300061226, 0.006236092187464237, -0.037096716463565826, 0.05371633917093277, 0.017852842807769775, -0.008997608907520771, 0.013741085305809975, ...
DevsIA/Devs_IA
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --...
[ -0.029281605035066605, -0.002491522580385208, -0.03240598738193512, 0.03800179436802864, 0.04994723200798035, 0.020405249670147896, -0.02979346737265587, -0.0076985848136246204, -0.04361528530716896, 0.05260182544589043, 0.03284613415598869, -0.024316221475601196, 0.02049068920314312, 0.04...
Dhritam/Zova-bot
[]
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 ...
[ -0.04157792404294014, -0.016278233379125595, -0.014850570820271969, 0.03543595224618912, 0.04712330922484398, -0.0059125362895429134, -0.014392436482012272, -0.023824505507946014, -0.02889530546963215, 0.055448003113269806, 0.022416632622480392, -0.030301054939627647, 0.01719149388372898, ...
DicoTiar/wisdomfiy
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-cartpole results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: me...
[ -0.03226838633418083, 0.018860334530472755, 0.003434930695220828, 0.006533842999488115, 0.04690173268318176, -0.020610230043530464, -0.022765951231122017, -0.017059817910194397, -0.034357860684394836, 0.08565781265497208, 0.02120278775691986, -0.010630502365529537, 0.017894277349114418, 0....
DiegoAlysson/opus-mt-en-ro-finetuned-en-to-ro
[ "pytorch", "tensorboard", "marian", "text2text-generation", "dataset:wmt16", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
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 ...
[ -0.038683827966451645, -0.017149668186903, -0.015187820419669151, 0.03706314414739609, 0.048578254878520966, -0.004726924933493137, -0.014191011898219585, -0.02545912191271782, -0.03046608157455921, 0.054146382957696915, 0.022385571151971817, -0.03308216854929924, 0.016608813777565956, 0.0...
Digakive/Hsgshs
[]
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-model-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +...
[ -0.022814573720097542, -0.016683796420693398, -0.0074747526086866856, 0.028096282854676247, 0.04388872906565666, -0.0006925993948243558, -0.017928557470440865, 0.0061727650463581085, -0.0367421992123127, 0.05306561291217804, 0.016957120969891548, -0.006542935501784086, 0.012128298170864582, ...
Dilmk2/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- language: - zh pipeline_tag: text2text-generation tags: - t5 --- ```python from transformers import T5ForConditionalGeneration from transformers import T5TokenizerFast as T5Tokenizer model = "svjack/dialogue-summary-fill-characters" device = "cpu" tokenizer = T5Tokenizer.from_pretrained(model) model = T5ForConditi...
[ -0.01099554356187582, -0.030642250552773476, -0.004427241627126932, 0.04620293527841568, 0.030525514855980873, 0.015681268647313118, -0.022291775792837143, -0.011278313584625721, -0.043983593583106995, 0.06267105787992477, 0.0351707860827446, -0.008950364775955677, -0.002246540505439043, 0...
DimaOrekhov/transformer-method-name
[ "pytorch", "encoder-decoder", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "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 metrics: - wer model-index: - name: openai/whisper-tiny 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. --> # ...
[ -0.03401412442326546, -0.00291903642937541, -0.0000890494993655011, 0.03636831045150757, 0.03812753036618233, 0.0009213797748088837, -0.009521695785224438, 0.008364234119653702, -0.028356540948152542, 0.06542206555604935, 0.02052365615963936, -0.03128282353281975, 0.012929782271385193, 0.0...
Dimedrolza/DialoGPT-small-cyberpunk
[ "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...
9
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-tiny.en 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. --> ...
[ -0.03295908868312836, -0.004400708246976137, -0.0013783631147816777, 0.037113532423973083, 0.03708978369832039, 0.002461324678733945, -0.010783475823700428, 0.008411312475800514, -0.028781328350305557, 0.0660204142332077, 0.02126212976872921, -0.03256002441048622, 0.01223752461373806, 0.03...
DingleyMaillotUrgell/homer-bot
[ "pytorch", "gpt2", "text-generation", "en", "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...
12
2023-02-08T15:16:52Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-base 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. --> # ...
[ -0.03465352952480316, -0.008677893318235874, -0.004879969637840986, 0.03439262881875038, 0.03475244343280792, 0.00998910702764988, -0.011285699903964996, 0.006839952431619167, -0.026138270273804665, 0.06114783510565758, 0.025762002915143967, -0.03331902623176575, 0.009479286149144173, 0.03...
DivyanshuSheth/T5-Seq2Seq-Final
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-base.en 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. --> ...
[ -0.035526350140571594, -0.008683934807777405, -0.00618284335359931, 0.03509756177663803, 0.03564079850912094, 0.009194105863571167, -0.010775413364171982, 0.0059967972338199615, -0.026772603392601013, 0.0623796172440052, 0.025120249018073082, -0.03322102501988411, 0.009073799476027489, 0.0...
Dizoid/Lll
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-small.en 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. -->...
[ -0.03247448801994324, -0.0047659375704824924, -0.0016381656751036644, 0.03626200929284096, 0.038170162588357925, 0.002662145532667637, -0.009666756726801395, 0.006851522251963615, -0.029337070882320404, 0.07075352221727371, 0.02072187140583992, -0.03160305693745613, 0.008508862927556038, 0...
Dkwkk/Da
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-small 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. --> #...
[ -0.034070950001478195, -0.0038418013136833906, -0.0015698907664045691, 0.03640659898519516, 0.03625968471169472, 0.0016588198486715555, -0.007809553761035204, 0.007944788783788681, -0.02851632982492447, 0.06987816095352173, 0.02337150275707245, -0.028867486864328384, 0.008237971924245358, ...
Dkwkk/W
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-medium results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_cmu_9h type: rishabhjain16/infer_cmu_9h config:...
[ -0.030339626595377922, -0.0106782466173172, -0.015077426098287106, 0.029746996238827705, 0.04675227776169777, 0.02152988500893116, -0.02009337767958641, 0.005190607160329819, -0.04027866572141647, 0.080096036195755, 0.019513573497533798, -0.022892305627465248, 0.012280180118978024, 0.03720...
Dmitriiserg/Pxd
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-medium.en results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_cmu_9h type: rishabhjain16/infer_cmu_9h conf...
[ -0.02970505692064762, -0.010045351460576057, -0.014728988520801067, 0.030020907521247864, 0.04954731464385986, 0.02239426039159298, -0.020214173942804337, 0.0054626972414553165, -0.04311263561248779, 0.07946828007698059, 0.017290567979216576, -0.023327896371483803, 0.014154925011098385, 0....
Dmitry12/sber
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-large 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. --> #...
[ -0.034343838691711426, -0.007168894167989492, -0.0019108218839392066, 0.03757442906498909, 0.039374176412820816, 0.0003229260619264096, -0.010518847033381462, -0.002731126267462969, -0.021436939015984535, 0.06157569959759712, 0.03139853477478027, -0.02864198386669159, 0.008366428315639496, ...
Doiman/DialoGPT-medium-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-large-v2 results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_cmu_9h type: rishabhjain16/infer_cmu_9h confi...
[ -0.02845935709774494, -0.011252659372985363, -0.010573041625320911, 0.031605686992406845, 0.048992082476615906, 0.015007048845291138, -0.02079475298523903, -0.0015413499204441905, -0.03746335953474045, 0.0776643380522728, 0.0214779581874609, -0.0192921981215477, 0.011561056599020958, 0.041...
DongHai/DialoGPT-small-rick
[ "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...
9
null
--- license: mit tags: - generated_from_trainer model-index: - name: NLP4Web_Home_Exercise6_Group13 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. --> # NLP4Web_Hom...
[ -0.024043969810009003, -0.018956735730171204, 0.0007075241301208735, 0.03708969056606293, 0.03647958114743233, 0.019111214205622673, -0.018400928005576134, 0.02071637287735939, -0.015332506038248539, 0.06313838064670563, 0.019757665693759918, -0.004346410743892193, 0.0006349143222905695, 0...
DongHyoungLee/kogpt2-base-v2-finetuned-kogpt2_nsmc_single_sentence_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
--- 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 ...
[ -0.037399500608444214, -0.002849406562745571, -0.004863883834332228, 0.0253745224326849, 0.04541301727294922, -0.02165631763637066, -0.005032336339354515, -0.027917509898543358, -0.033615145832300186, 0.0666240006685257, 0.03229057416319847, -0.02376641519367695, 0.02263186126947403, 0.000...
Donghyun/L2_BERT
[]
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: - generated_from_trainer metrics: - rouge model-index: - name: speller-t5-909_both_ 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. --> # speller-t5-909_bo...
[ -0.017062919214367867, -0.010300621390342712, 0.00025169365108013153, 0.04511026293039322, 0.04631298780441284, 0.0032759965397417545, -0.024578632786870003, -0.027084097266197205, -0.057327527552843094, 0.045514531433582306, 0.015173881314694881, -0.026649054139852524, -0.006263482384383678...
Dongjae/mrc2reader
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_social-roberta-large-v1-2-0.13 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ...
[ -0.013584379106760025, -0.029278041794896126, -0.0048193964175879955, 0.058095552027225494, 0.028019936755299568, 0.022235270589590073, -0.02857373282313347, -0.002482605865225196, -0.03803631663322449, 0.06660254299640656, 0.028859972953796387, 0.01915043406188488, 0.03028629720211029, 0....
Waynehillsdev/Wayne_NLP_mT5
[ "pytorch", "tensorboard", "mt5", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
11
null
--- pipeline_tag: zero-shot-classification license: apache-2.0 language: - en tags: - zero-shot - text-classification - science - mag widget: - text: Leo Messi is the best player ever candidate_labels: politics, science, sports, environment multi_class: true --- # SCIroShot ## Overview <details> <summary>C...
[ 0.018728693947196007, -0.035228706896305084, -0.0027501783333718777, 0.04800763726234436, 0.06575572490692139, 0.01296835858374834, -0.021349525079131126, -0.00023165671154856682, -0.057104334235191345, 0.06625368446111679, 0.030190519988536835, 0.013206448405981064, 0.027331678196787834, ...
Doohae/q_encoder
[ "pytorch" ]
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...
3
null
--- license: mit datasets: - gwkim22/spectro_caption_dataset - Chr0my/Epidemic_music language: - en library_name: diffusers pipeline_tag: text-to-image tags: - stable-diffusion - diffusion - riffusion - text-to-audio --- ### Introduce Riffusion with LoRA, fine-tuned with <code>Chr0my/Epidemic_music</code> <br/> This m...
[ -0.004272978287190199, -0.0021765301935374737, -0.019215941429138184, 0.047086793929338455, 0.041321199387311935, 0.012899531982839108, 0.0011614771792665124, -0.006329877767711878, -0.0319729745388031, 0.06556914001703262, 0.05053079500794411, 0.011120317503809929, 0.0041604191064834595, ...
Doquey/DialoGPT-small-Michaelbot
[ "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...
10
null
--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1-base instance_prompt: sksdog tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- # Openjourney LoRA - by [PromptHero](https://prompthero.com/?utm_source=huggingface&utm_medium=referral) The...
[ -0.03114693984389305, -0.013480384834110737, -0.022878509014844894, 0.03663061186671257, 0.044223055243492126, 0.0016456719022244215, 0.001653174520470202, -0.023460272699594498, -0.02225819043815136, 0.06052585691213608, 0.017286648973822594, -0.02563503384590149, -0.026406321674585342, 0...
DoyyingFace/bert-asian-hate-tweets-asian-clean-with-unclean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # davanstrien/dataset_mentions This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot lea...
[ -0.015918657183647156, -0.02463606931269169, -0.016461845487356186, 0.06082256883382797, 0.024433089420199394, 0.03182130679488182, -0.019227001816034317, 0.00002599314393592067, -0.037003159523010254, 0.06454597413539886, 0.03279310092329979, 0.0193787794560194, 0.030160758644342422, 0.01...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-12
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03014196641743183, -0.0014716045698150992, -0.020238293334841728, 0.05039730295538902, 0.03923165798187256, 0.02593100070953369, -0.0012764896964654326, -0.035778965801000595, -0.0279341209679842, 0.04836217686533928, 0.022990992292761803, -0.004810940008610487, 0.019304413348436356, 0....
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4
[ "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...
44
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_transport-roberta-large-v1-2-0.15 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using ...
[ -0.013466300442814827, -0.02881484292447567, -0.007190222851932049, 0.05836302787065506, 0.02912219613790512, 0.024427421391010284, -0.021862991154193878, -0.003341702278703451, -0.037227813154459, 0.06708672642707825, 0.02401854656636715, 0.02019447647035122, 0.024977803230285645, 0.02545...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-slanted
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- license: mit tags: - generated_from_trainer datasets: - samsum metrics: - rouge model-index: - name: conversation-summ results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: samsum type: samsum config: samsum split: validat...
[ -0.019796529784798622, 0.0047474391758441925, -0.015033265575766563, 0.049432381987571716, 0.029726509004831314, 0.02302929386496544, -0.023694097995758057, -0.028496216982603073, -0.04482342302799225, 0.060142215341329575, 0.04236530885100365, -0.022850317880511284, 0.021094711497426033, ...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - https://huggingface.co/lucataco/startuplogos-lora-supersmall These are LoRA adaption weights fo...
[ -0.024877792224287987, -0.010453745722770691, -0.01737123355269432, 0.026847437024116516, 0.05633506923913956, -0.010910253040492535, 0.002260293113067746, -0.010677842423319817, -0.008405403234064579, 0.0721263438463211, 0.011289220303297043, -0.03311234712600708, 0.0015304306289181113, 0...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75
[ "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...
37
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_calendar-roberta-large-v1-2-0.89 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using a...
[ -0.01245516911149025, -0.021415216848254204, -0.004869034513831139, 0.06370926648378372, 0.03099737875163555, 0.024385010823607445, -0.02910424955189228, -0.0056350757367908955, -0.03993082419037819, 0.0694284737110138, 0.024884823709726334, 0.018974406644701958, 0.030458923429250717, 0.01...
DoyyingFace/bert-asian-hate-tweets-asonam-clean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_play-roberta-large-v1-2-0.64 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ef...
[ -0.011984555050730705, -0.02862117625772953, -0.002302157925441861, 0.056705158203840256, 0.02968183346092701, 0.023521916940808296, -0.025341298431158066, -0.006421929690986872, -0.03643321990966797, 0.06592103838920593, 0.02280060574412346, 0.01936991512775421, 0.027264676988124847, 0.02...
albert-base-v1
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
38,156
2023-02-08T16:36:19Z
--- license: apache-2.0 datasets: - andrea-t94/TwitterSentiment140 language: - en metrics: - perplexity library_name: transformers tags: - distillroberta-base - twitter pipeline_tag: fill-mask --- ## Twitter-roBERTa-base fine-tuned using masked language modelling This is a RoBERTa-base model finetuned (domain adaptati...
[ -0.014187607914209366, -0.019368669018149376, -0.01207584049552679, 0.041058432310819626, 0.04895133525133133, 0.04902484267950058, -0.018143778666853905, -0.000022569434804609045, -0.041669510304927826, 0.043026071041822433, 0.03605209290981293, -0.01890753209590912, 0.011420956812798977, ...
albert-base-v2
[ "pytorch", "tf", "jax", "rust", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
4,785,283
2023-02-08T16:39:29Z
--- 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...
[ -0.05135464295744896, 0.005788074340671301, -0.006099035497754812, 0.05618444085121155, 0.025800926610827446, 0.028071032837033272, -0.004171557258814573, -0.030015135183930397, -0.005134305916726589, 0.04937608912587166, 0.018337523564696312, -0.012513158842921257, 0.006657151505351067, 0...
albert-large-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
687
2023-02-08T16:39:32Z
--- 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...
[ -0.01777893863618374, -0.017560580745339394, -0.00501656997948885, 0.02981901727616787, 0.049362264573574066, -0.01914934068918228, -0.010332613252103329, -0.00945414137095213, -0.05853624641895294, 0.05424218624830246, -0.0018025132594630122, -0.009666265919804573, 0.025329241529107094, 0...
albert-large-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
26,792
2023-02-08T16:39:36Z
--- 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...
[ -0.050866518169641495, 0.007397268433123827, -0.00876613985747099, 0.058384642004966736, 0.02784302830696106, 0.030666273087263107, -0.003140299580991268, -0.0332988016307354, -0.004054391756653786, 0.051483362913131714, 0.018154073506593704, -0.012590726837515831, 0.007881068624556065, 0....
albert-xlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
341
2023-02-08T16:42:47Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Q-Learner-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 ...
[ -0.01901676133275032, -0.015028036199510098, -0.006928260438144207, 0.028136268258094788, 0.04628396034240723, -0.003672227030619979, -0.01702004298567772, 0.004839117173105478, -0.03738304600119591, 0.051068395376205444, 0.01587984524667263, -0.008112392388284206, 0.01206991821527481, 0.0...
albert-xlarge-v2
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
2,973
2023-02-08T16:46:52Z
--- tags: - spacy - token-classification - text-classification language: - en model-index: - name: en_pipeline results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.9970902037 - name: NER Recall type: recall valu...
[ 0.026660429313778877, -0.031080523505806923, -0.01857561059296131, 0.02778901718556881, 0.059497732669115067, 0.017700210213661194, -0.03133795037865639, 0.003859684569761157, -0.04538509622216225, 0.07740436494350433, 0.028419090434908867, -0.009571459144353867, 0.01052924431860447, 0.056...
albert-xxlarge-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
42,640
2023-02-08T16:49:17Z
--- tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-sentimientos-pln-uned 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...
[ -0.03683233633637428, 0.00038374547148123384, -0.011466320604085922, 0.02827112190425396, 0.03159896284341812, 0.03438257426023483, -0.016233325004577637, -0.005823104176670313, -0.0543469674885273, 0.05471018701791763, 0.020034221932291985, -0.024790296331048012, -0.002328108297660947, 0....
bert-base-german-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "exbert", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
175,983
2023-02-08T16:56:58Z
--- title: Which Gender emoji: 🦀 colorFrom: yellow colorTo: blue sdk: gradio sdk_version: 3.17.0 app_file: app.py pinned: false license: apache-2.0 --- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
[ -0.033430926501750946, 0.0016682300483807921, -0.004721613600850105, 0.028418362140655518, 0.06867378950119019, -0.006296442821621895, -0.008997493423521519, 0.009851592592895031, -0.029487919062376022, 0.046247318387031555, 0.010345904156565666, 0.007230020593851805, 0.07299529761075974, ...
bert-base-multilingual-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4,749,504
2023-02-08T17:07:03Z
--- language: - rw license: cc-by-4.0 library_name: nemo datasets: - mozilla-foundation/common_voice_11_0 thumbnail: null tags: - automatic-speech-recognition - speech - ASR - Kinyarwanda - Swahili - Luganda - Multilingual - audio - CTC - Conformer - Transformer - NeMo - pytorch model-index: - name: stt_rw_sw_lg_confor...
[ -0.04964224621653557, -0.033436983823776245, -0.010461005382239819, 0.027950691059231758, 0.06716205924749374, 0.024497175589203835, 0.0034860996529459953, -0.027473822236061096, -0.04376663640141487, 0.06929375976324081, 0.05565498024225235, -0.0156092569231987, -0.004838248249143362, 0.0...
bert-base-multilingual-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
328,585
2023-02-08T17:07:12Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.028569770976901054, 0.019015954807400703, 0.00252376776188612, 0.00946167204529047, 0.043905045837163925, -0.019624890759587288, -0.021679241210222244, -0.01699897088110447, -0.030101638287305832, 0.08418191969394684, 0.01820528134703636, -0.009052298963069916, 0.01718253456056118, 0.01...
bert-large-cased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8,214
2023-02-08T17:07:34Z
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### zmaroavatar Dreambooth model trained by zmaro 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 [fa...
[ -0.029810570180416107, -0.015543385408818722, -0.027481047436594963, 0.04050903394818306, 0.03536631911993027, 0.001685178023763001, 0.0037314854562282562, -0.004746577702462673, -0.004131425637751818, 0.03353432938456535, 0.05485416576266289, -0.005473396275192499, -0.014277885667979717, ...
bert-large-cased-whole-word-masking
[ "pytorch", "tf", "jax", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2,316
2023-02-08T17:15:45Z
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_datetime-roberta-large-v1-2-0.82 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using a...
[ -0.008398047648370266, -0.027762169018387794, -0.0042576962150633335, 0.05614960193634033, 0.030787596479058266, 0.02362927235662937, -0.02335912361741066, -0.005180218257009983, -0.03817988187074661, 0.06996992230415344, 0.028066975995898247, 0.023142816498875618, 0.02557947486639023, 0.0...
bert-large-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
388,769
2023-02-08T17:15:53Z
--- language: - rw license: cc-by-4.0 library_name: nemo datasets: - mozilla-foundation/common_voice_11_0 thumbnail: null tags: - automatic-speech-recognition - speech - ASR - Kinyarwanda - Swahili - Luganda - Multilingual - audio - CTC - Conformer - Transformer - NeMo - pytorch model-index: - name: stt_rw_sw_lg_confor...
[ -0.04782645031809807, -0.03476928919553757, -0.010832589119672775, 0.027640946209430695, 0.06720014661550522, 0.023825684562325478, 0.0032589926850050688, -0.026769816875457764, -0.045304667204618454, 0.06916360557079315, 0.057109858840703964, -0.014671118929982185, -0.006075259763747454, ...
bert-large-uncased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
480,510
2023-02-08T17:18:35Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04961815103888512, -0.01616617850959301, -0.008873006328940392, 0.0362781397998333, 0.040998563170433044, 0.003077744971960783, -0.021426361054182053, -0.01042366586625576, -0.037944115698337555, 0.05707116052508354, 0.024960683658719063, -0.0028420689050108194, 0.031440313905477524, 0....
bert-large-uncased-whole-word-masking
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
76,685
2023-02-08T17:19:36Z
--- 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 ...
[ -0.038777779787778854, -0.017104823142290115, -0.014965923503041267, 0.03684405982494354, 0.04824087396264076, -0.005075812339782715, -0.013746142387390137, -0.02565382793545723, -0.030824754387140274, 0.05409298092126846, 0.02259194850921631, -0.03267836570739746, 0.01656867377460003, 0.0...
distilbert-base-german-cased
[ "pytorch", "safetensors", "distilbert", "fill-mask", "de", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
43,667
2023-02-08T17:41:35Z
--- tags: - Pong-v4 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pong-v4 type: Pong-v4 metrics: - type: mean_...
[ -0.01010921597480774, 0.00017225780175067484, 0.00914145726710558, 0.04021034389734268, 0.027175065129995346, -0.024947872385382652, -0.024295303970575333, -0.022906392812728882, -0.02659810334444046, 0.05384868010878563, -0.004616247024387121, 0.0004153261543251574, 0.0055806455202400684, ...
xlm-clm-enfr-1024
[ "pytorch", "tf", "xlm", "fill-mask", "multilingual", "en", "fr", "arxiv:1901.07291", "arxiv:1910.09700", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "XLMWithLMHeadModel" ], "model_type": "xlm", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_si...
196
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.022095436230301857, -0.005731650628149509, 0.01013376284390688, 0.03931673243641853, 0.03135251626372337, 0.015191781334578991, -0.02839646115899086, -0.014481167308986187, -0.016088057309389114, 0.060730017721652985, 0.006304093636572361, 0.0007389904349111021, 0.01125903520733118, 0.0...
0x7194633/keyt5-large
[ "pytorch", "safetensors", "t5", "text2text-generation", "ru", "transformers", "license:mit", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
166
2023-02-08T19:06:28Z
--- 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: 7.32 +/- 2.89...
[ -0.01881605200469494, -0.014489483088254929, -0.006633762735873461, 0.026457320898771286, 0.04784053936600685, -0.003270162036642432, -0.01676161028444767, 0.008679437451064587, -0.03920590877532959, 0.05361832305788994, 0.015300300903618336, -0.005851383320987225, 0.01017775572836399, 0.0...
ATGdev/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
2023-02-09T00:50:14Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.022600872442126274, -0.005849380511790514, 0.010869775898754597, 0.03958681598305702, 0.03180430084466934, 0.01578241027891636, -0.02902049571275711, -0.01620345748960972, -0.014554490335285664, 0.06103396788239479, 0.005920904688537121, -0.0001870361593319103, 0.010513192042708397, 0.0...
AVSilva/bertimbau-large-fine-tuned-md
[ "pytorch", "bert", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
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...
[ -0.04459322243928909, 0.009082264266908169, -0.010719877667725086, 0.05915253236889839, 0.031267717480659485, 0.028021879494190216, 0.0007748472271487117, -0.036161694675683975, -0.008397100493311882, 0.04897328093647957, 0.01999037340283394, -0.012491031549870968, 0.009158620610833168, 0....
AdapterHub/roberta-base-pf-art
[ "roberta", "en", "dataset:art", "arxiv:2104.08247", "adapter-transformers" ]
null
{ "architectures": null, "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": null, "num_...
1
null
--- license: creativeml-openrail-m language: - en widget: - text: 1girl, fate - text: 1boy, league of - text: 1girl, genshin - text: 1boy, national basketball association - text: 1girl, spy x - text: 1girl, absurdres tags: - stable-diffusion - anime - anything-v4 - art - arxiv:2210.14140 datasets: - FredZhang7/anime-p...
[ -0.011020291596651077, -0.02574090287089348, -0.0010456525487825274, 0.048558883368968964, 0.050313800573349, 0.018132364377379417, -0.00034586290712468326, -0.0173012875020504, -0.01790066808462143, 0.061497461050748825, 0.028411464765667915, 0.006811221595853567, -0.009877885691821575, 0...
Ahmad/parsT5-base
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
25
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: denlip82 --- ### denlip82 Dreambooth model trained by DL82 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via `diffusers` [Colab Not...
[ -0.03788178414106369, -0.02573426440358162, -0.017755737528204918, 0.03727702051401138, 0.026541676372289658, 0.01830594800412655, -0.03644567355513573, -0.030093135312199593, -0.015666499733924866, 0.0484999343752861, 0.026482583954930305, 0.005840085446834564, -0.023578979074954987, 0.03...
AimB/mT5-en-kr-opus
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-09T11:14:40Z
--- 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...
[ -0.04961726814508438, 0.007450398989021778, -0.007635924965143204, 0.0578656829893589, 0.027344442903995514, 0.03124638833105564, -0.004306684713810682, -0.03373068943619728, -0.00422684708610177, 0.052547283470630646, 0.018913550302386284, -0.01259724609553814, 0.007255023345351219, 0.023...
Akash7897/my-newtokenizer
[]
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: fr datasets: - nlpso/m1_fine_tuning_ref_cmbert_iob2 tag: token-classification widget: - text: 'Duflot, loueur de carrosses, r. de Paradis-
 505
 Poissonnière, 22.' example_title: 'Noisy entry #1' - text: 'Duſour el Besnard, march, de bois à bruler,
 quai de la Tournelle, 17. etr. des Fossés-
 ...
[ -0.012973752804100513, -0.003961809445172548, 0.003126980736851692, 0.03830134868621826, 0.05456707999110222, 0.01202389970421791, -0.026031646877527237, -0.013467920944094658, -0.031033596023917198, 0.04231739044189453, 0.02201375737786293, -0.013864004984498024, -0.009575842879712582, 0....
Akash7897/test-clm
[]
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: - Pong-v4 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pong-v4 type: Pong-v4 metrics: - type: mean_...
[ -0.009875965304672718, -0.00040610958239994943, 0.009399870410561562, 0.03991299867630005, 0.026578782126307487, -0.024785323068499565, -0.02324075438082218, -0.02161981910467148, -0.027170196175575256, 0.05479417368769646, -0.005576957017183304, -0.0005339243216440082, 0.005400070920586586,...
Akbarariza/Anjar
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-09T12:01:02Z
--- language: fr datasets: - nlpso/m1_fine_tuning_ref_ptrn_cmbert_iob2 tag: token-classification widget: - text: 'Duflot, loueur de carrosses, r. de Paradis-
 505
 Poissonnière, 22.' example_title: 'Noisy entry #1' - text: 'Duſour el Besnard, march, de bois à bruler,
 quai de la Tournelle, 17. etr. des Fossé...
[ -0.009856407530605793, -0.008316697552800179, -0.0014937125379219651, 0.03840228170156479, 0.05908287689089775, 0.012231160886585712, -0.027491459622979164, -0.011692237108945847, -0.030768942087888718, 0.04284147173166275, 0.0202978253364563, -0.016723310574889183, -0.00933045893907547, 0...
Akira-Yana/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
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos model-index: - name: distillbert-base-uncased-finetuned-clinc 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 ...
[ -0.025319863110780716, -0.009503442794084549, -0.02693917043507099, 0.031985487788915634, 0.03742293268442154, 0.016600780189037323, -0.02166092023253441, -0.014376437291502953, -0.026882696896791458, 0.05124714970588684, 0.024043619632720947, 0.0014795339666306973, 0.02013837732374668, 0....
Aleksandar/electra-srb-oscar
[ "pytorch", "electra", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "ElectraForMaskedLM" ], "model_type": "electra", "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: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### skirt_made_out_of_flowers Dreambooth model trained by Erpix3lt 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...
[ -0.03828668221831322, -0.008626998402178288, -0.03401680663228035, 0.03182327002286911, 0.026655027642846107, -0.0020055524073541164, -0.0020724704954773188, 0.007277127355337143, -0.018649902194738388, 0.050730496644973755, 0.03344826027750969, 0.0069260927848517895, -0.014914480037987232, ...