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
Aleksandar1932/distilgpt2-rock
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- language: fr datasets: - nlpso/m2m3_fine_tuning_ref_cmbert_io 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-
 ...
[ -0.0163918137550354, -0.0026261932216584682, -0.0017803073860704899, 0.04102238267660141, 0.055586352944374084, 0.01677650213241577, -0.029569407925009727, -0.016330623999238014, -0.030752331018447876, 0.03988770768046379, 0.023253045976161957, -0.01032060943543911, -0.009121970273554325, ...
Aleksandar1932/gpt2-country
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- language: fr datasets: - nlpso/m2m3_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-
...
[ -0.01537289284169674, -0.0036123692989349365, 0.0014832194428890944, 0.03982452303171158, 0.05342112481594086, 0.015863114967942238, -0.030079970136284828, -0.014785409905016422, -0.03291298449039459, 0.03875252231955528, 0.02132163941860199, -0.007356292102485895, -0.008070378564298153, 0...
Aleksandar1932/gpt2-hip-hop
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- language: fr datasets: - nlpso/m2m3_fine_tuning_ref_ptrn_cmbert_io 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...
[ -0.0165468230843544, -0.003146284492686391, 0.0014983098953962326, 0.041240911930799484, 0.05357856675982475, 0.016626765951514244, -0.027933694422245026, -0.015388532541692257, -0.03326024115085602, 0.03821044787764549, 0.02097748965024948, -0.009282422251999378, -0.010164981707930565, 0....
Aleksandra/herbert-base-cased-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "generated_from_trainer", "license:cc-by-4.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8
null
--- 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...
[ -0.04973399639129639, 0.007506639696657658, -0.006564585492014885, 0.057712845504283905, 0.02679813653230667, 0.03247809782624245, -0.005596250761300325, -0.03245523199439049, -0.004055732395499945, 0.0524570532143116, 0.018178315833210945, -0.013309306465089321, 0.007963323965668678, 0.02...
adorkin/xlm-roberta-en-ru-emoji
[ "pytorch", "safetensors", "xlm-roberta", "text-classification", "en", "ru", "dataset:tweet_eval", "transformers" ]
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, ...
31
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 ...
[ -0.039754971861839294, -0.01633128523826599, -0.01612096279859543, 0.03654556721448898, 0.04817795753479004, -0.0057689109817147255, -0.013831128366291523, -0.02443716675043106, -0.030037684366106987, 0.054374922066926956, 0.023352129384875298, -0.032328199595212936, 0.01811951771378517, 0...
AlekseyKorshuk/bert
[ "pytorch", "distilbert", "text-classification", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- language: fr datasets: - nlpso/m2m3_fine_tuning_ocr_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-
...
[ -0.013382408767938614, -0.005852412432432175, -0.0039107538759708405, 0.038375530391931534, 0.057348404079675674, 0.013262259773910046, -0.032108549028635025, -0.007302142679691315, -0.02933124639093876, 0.04095635190606117, 0.016661612316966057, -0.004457151051610708, -0.009315463714301586,...
Alessandro/model_name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer model-index: - name: color_extraction_2023_02_09-finetuned-ner 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. --> # ...
[ -0.03395598381757736, -0.020661789923906326, -0.01722886599600315, 0.04090999811887741, 0.04378017038106918, 0.030153771862387657, -0.014826363883912563, -0.023257166147232056, -0.047570012509822845, 0.05878109112381935, 0.042405880987644196, -0.0018486384069547057, 0.0195076335221529, 0.0...
AlexDemon/Alex
[]
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: - precision - recall - f1 - accuracy model-index: - name: kg_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 t...
[ -0.02231762744486332, 0.001594842062331736, 0.0004089235153514892, 0.027482612058520317, 0.042708028107881546, 0.011145132593810558, -0.011690566316246986, 0.0028674521017819643, -0.04007425159215927, 0.057195957750082016, 0.010207516141235828, -0.01877807267010212, 0.027811963111162186, 0...
AlexN/xls-r-300m-pt
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "robust-speech-event", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "hf-asr-leaderboard", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
15
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: train.log 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. --> # train.log This model is ...
[ -0.02952422946691513, -0.006657984107732773, -0.02205142192542553, 0.06486063450574875, 0.03815143555402756, 0.03179269656538963, -0.002096661599352956, -0.01931970752775669, -0.04860053211450577, 0.06390335410833359, 0.026557395234704018, -0.026508599519729614, 0.010113218799233437, 0.040...
AlexaMerens/Owl
[ "license:cc" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m --- https://civitai.com/models/7547/pastelrainier
[ -0.03726313263177872, 0.002089468529447913, -0.01926860399544239, 0.028975175693631172, 0.06206556037068367, 0.010311360470950603, 0.016032502055168152, 0.01573009043931961, -0.03331461548805237, 0.03604263439774513, 0.02924180217087269, -0.004601481836289167, 0.018360313028097153, 0.02340...
Alexander-Learn/bert-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
7
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.041856877505779266, -0.0006785037694498897, -0.008567378856241703, 0.04911334067583084, 0.029378868639469147, 0.02170153521001339, -0.026015572249889374, -0.03742671385407448, -0.006713679060339928, 0.04921957105398178, 0.018216131255030632, -0.009415651671588421, 0.020256640389561653, ...
Alexandru/creative_copilot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en tags: - pytorch - causal-lm - pythia license: apache-2.0 datasets: - the_pile --- The *Pythia Scaling Suite* is a collection of models developed to facilitate interpretability research. It contains two sets of eight models of sizes 70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, the...
[ -0.05259302258491516, -0.01841348223388195, -0.017351919785141945, 0.04595967382192612, 0.024409063160419464, 0.009784836322069168, -0.011046885512769222, -0.0011789111886173487, 0.0007787652430124581, 0.04680292680859566, 0.009396690875291824, -0.01896800473332405, 0.015955910086631775, 0...
Alireza-rw/testbot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049809858202934265, -0.015967965126037598, -0.008559104986488819, 0.036201778799295425, 0.04087108001112938, 0.0023865425027906895, -0.02112223394215107, -0.010811670683324337, -0.03759882599115372, 0.05738389492034912, 0.025089915841817856, -0.0034188537392765284, 0.03152862563729286, ...
Alireza1044/albert-base-v2-qqp
[ "pytorch", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
37
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 ...
[ -0.03813602030277252, -0.017054468393325806, -0.015051370486617088, 0.036383938044309616, 0.04943515360355377, -0.004182858392596245, -0.014165575616061687, -0.02511252835392952, -0.03287990763783455, 0.055381495505571365, 0.023605454713106155, -0.03307308256626129, 0.020221872255206108, 0...
Alireza1044/albert-base-v2-rte
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
30
null
--- language: fr datasets: - nlpso/m0_fine_tuning_ref_cmbert_io 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-
 ...
[ -0.01395342405885458, -0.005983095150440931, 0.009917261078953743, 0.03308374807238579, 0.03568064793944359, 0.013642571866512299, -0.033694326877593994, -0.025373142212629318, -0.028040174394845963, 0.03900667652487755, 0.020424550399184227, -0.01290436927229166, -0.0011709192767739296, 0...
Alireza1044/albert-base-v2-stsb
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
37
null
--- license: apache-2.0 tags: - summarization - generated_from_trainer metrics: - rouge model-index: - name: flan-t5-base2 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 comm...
[ -0.02211591973900795, -0.017718205228447914, -0.003085913835093379, 0.04163924977183342, 0.036344144493341446, -0.014504538848996162, -0.018371539190411568, -0.008531320840120316, -0.03352949768304825, 0.03629089519381523, 0.012421456165611744, -0.0229992363601923, 0.007020029705017805, 0....
Alireza1044/albert-base-v2-wnli
[ "pytorch", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
164
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy model-index: - name: my_awesome_model results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text split: test args: pla...
[ -0.020686157047748566, -0.01727369986474514, -0.016084231436252594, 0.04171571135520935, 0.02302577905356884, 0.024300025776028633, -0.027032259851694107, -0.03134436905384064, -0.012623892165720463, 0.07374288886785507, 0.030965235084295273, 0.014415972866117954, -0.008659493178129196, 0....
AlirezaBaneshi/testPersianQA
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
4
2023-02-09T14:41:16Z
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_social-roberta-large-v1-2-7 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an eff...
[ -0.014589258469641209, -0.028406916186213493, -0.005884960293769836, 0.059307876974344254, 0.02879597246646881, 0.022393101826310158, -0.03056222014129162, -0.0035642371512949467, -0.038486652076244354, 0.0654299333691597, 0.03002047725021839, 0.019605547189712524, 0.030063703656196594, 0....
Aliskin/xlm-roberta-base-finetuned-marc
[]
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
2023-02-10T02:15:16Z
--- language: - en tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: yujiepan/bert-base-uncased-sst2-int8-unstructured80-17epoch results: - task: name: Text Classification type: text-classification dataset: name: GLUE SST2 type: glue config: s...
[ -0.023916110396385193, -0.0069997054524719715, -0.006657931488007307, 0.031109387055039406, 0.04808878153562546, 0.01755182445049286, -0.01740793138742447, -0.014180385507643223, -0.027333050966262817, 0.0538262203335762, 0.027265267446637154, 0.012248720973730087, 0.004072666633874178, 0....
Allybaby21/Allysai
[]
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
2023-02-09T14:51:04Z
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_transport-roberta-large-v1-2-3 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ...
[ -0.014472540467977524, -0.028994709253311157, -0.00814078003168106, 0.05975314602255821, 0.0302470400929451, 0.02507353574037552, -0.024045459926128387, -0.004304264672100544, -0.037514012306928635, 0.06644237786531448, 0.024850159883499146, 0.02039944939315319, 0.02490680105984211, 0.0253...
Amalq/roberta-base-finetuned-schizophreniaReddit2
[ "pytorch", "tensorboard", "roberta", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
5
null
--- library_name: stable-baselines3 tags: - CarRacing-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CarRacing-v0 type: CarRacing-v0 metri...
[ -0.03905593603849411, -0.011117987334728241, -0.014170115813612938, 0.026072930544614792, 0.03558088466525078, -0.00017868851136881858, -0.012067191302776337, -0.012984917499125004, -0.043946120887994766, 0.06544528156518936, 0.02359023131430149, -0.030102116987109184, 0.022092526778578758, ...
AmanPriyanshu/DistilBert-Sentiment-Analysis
[ "tf", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
7
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_calendar-roberta-large-v1-2-93 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ...
[ -0.012328305281698704, -0.022005513310432434, -0.0057359784841537476, 0.06337574869394302, 0.030334655195474625, 0.023607442155480385, -0.029046667739748955, -0.0063105495646595955, -0.03962188959121704, 0.0694030150771141, 0.024336781352758408, 0.020219329744577408, 0.02987523004412651, 0...
AmirBialer/amirbialer-Classifier
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-09T15:09:37Z
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_play-roberta-large-v1-2-71 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an effi...
[ -0.013683565892279148, -0.02777993306517601, -0.002854666905477643, 0.05777869001030922, 0.029807541519403458, 0.022836627438664436, -0.02611897885799408, -0.007408964913338423, -0.03618023917078972, 0.06597483903169632, 0.02324068918824196, 0.019940659403800964, 0.027070164680480957, 0.02...
Amirosein/roberta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
6
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: color_extraction_2023_02_09_v2-finetuned-ner 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...
[ -0.029257124289870262, -0.0198974609375, -0.023806579411029816, 0.04161832854151726, 0.05257188528776169, 0.022825084626674652, -0.01142919436097145, -0.02138121984899044, -0.052653826773166656, 0.0631471797823906, 0.04225095361471176, -0.0006397691322490573, 0.010979595594108105, 0.030748...
Andranik/TestPytorchClassification
[ "pytorch", "distilbert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
36
2023-02-09T15:57:08Z
--- tags: - conversational --- # dialogpt nayeon
[ -0.03541235625743866, 0.004873584024608135, 0.010596243664622307, 0.013365104794502258, 0.013786984607577324, 0.017565570771694183, -0.006340678781270981, 0.03189226612448692, -0.028325548395514488, 0.037356916815042496, 0.034285273402929306, -0.03156673163175583, 0.021318141371011734, 0.0...
Andranik/TestQaV1
[ "pytorch", "rust", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: taro_model_query_res_multilingual_agent_msg 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...
[ -0.026251170784235, -0.024682966992259026, -0.026680277660489082, 0.07883931696414948, 0.063201405107975, 0.013677687384188175, 0.003043217584490776, -0.025785375386476517, -0.03773156926035881, 0.06820498406887054, 0.017781691625714302, -0.03442096710205078, 0.017851781100034714, 0.039464...
Andrey1989/mt5-small-finetuned-mlsum-es
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: unlicense datasets: - speedoflight/My-shapez-dataset-thing language: - en tags: - fun - game ---
[ -0.030229676514863968, -0.005285980179905891, -0.010103187523782253, 0.00024054721870925277, 0.03232654184103012, 0.0006269426085054874, -0.0017495944630354643, 0.02067948505282402, -0.028063174337148666, 0.03156863525509834, 0.043539829552173615, 0.03640057146549225, 0.016584433615207672, ...
AnonymousSub/AR_EManuals-RoBERTa
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
2023-02-09T19:10:36Z
--- 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 ...
[ -0.04583095386624336, -0.0017029193695634604, -0.021999558433890343, 0.03267233446240425, 0.04377063363790512, 0.017475467175245285, -0.01786329410970211, -0.030943024903535843, -0.038116369396448135, 0.06906288862228394, 0.022469833493232727, 0.003673397935926914, 0.014081858098506927, 0....
AnonymousSub/SR_rule_based_roberta_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
2023-02-09T22:46:07Z
--- language: - ar license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - Martha-987/MyOwnData metrics: - wer model-index: - name: Whisper Small Ar- Martha results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: MyOwnDa...
[ -0.04580305144190788, 0.004126809537410736, -0.020494218915700912, 0.06290236115455627, 0.03337524086236954, 0.025922497734427452, -0.020462699234485626, -0.00709008751437068, -0.03596372902393341, 0.067938894033432, 0.03161579370498657, -0.029588041827082634, -0.0023396278265863657, 0.041...
AnonymousSub/SR_rule_based_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
2023-02-09T23:41:36Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: result 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. --> # result This model is a fine...
[ 0.00793494377285242, 0.006697305478155613, -0.03833930566906929, 0.059542879462242126, 0.03776053711771965, 0.015605315566062927, -0.005156738683581352, -0.01423083245754242, -0.05050729960203171, 0.03587394580245018, 0.028445888310670853, -0.009011700749397278, 0.01367341447621584, 0.0480...
AnonymousSub/SR_rule_based_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
2023-02-09T23:57:06Z
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class widget: - text: dilbert walking his dog --- # DreamBooth model for the Dilbert concept trained by CSAle on the CSAle/DilbertDiffusionDataset dataset. This is a Stable Diffusion model fine-tuned o...
[ -0.0014160012360662222, 0.00047449677367694676, -0.01619586907327175, 0.030797608196735382, 0.037810731679201126, 0.025893956422805786, -0.016187498345971107, 0.006285116076469421, -0.010690935887396336, 0.05873706191778183, 0.033802539110183716, -0.0061470866203308105, -0.000948115135543048...
AnonymousSub/SciFive_pubmedqa_question_generation
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
7
2023-02-10T00:07:51Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - beans metrics: - accuracy model-index: - name: platzi_vit_model results: - task: name: Image Classification type: image-classification dataset: name: beans type: beans config: default split: validation a...
[ -0.011425770819187164, 0.0013686486054211855, 0.008725572377443314, 0.0251657385379076, 0.03723963350057602, -0.009235233999788761, 0.014212257228791714, -0.010908125899732113, -0.016714997589588165, 0.05278167128562927, 0.016334017738699913, -0.01563980057835579, 0.0011136610992252827, 0....
AnonymousSub/bert_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
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 ...
[ -0.03767389431595802, -0.018210669979453087, -0.014173249714076519, 0.036244433373212814, 0.048095326870679855, -0.00603922875598073, -0.011394311673939228, -0.024822724983096123, -0.030991140753030777, 0.056167006492614746, 0.022024156525731087, -0.03239851072430611, 0.02111675590276718, ...
AnonymousSub/cline-emanuals-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
27
2023-02-10T00:38:49Z
--- 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 ...
[ -0.04021242633461952, -0.014848644845187664, -0.01649625040590763, 0.035910408943891525, 0.04863877594470978, -0.004580416716635227, -0.013255412690341473, -0.0252129714936018, -0.031208008527755737, 0.054367873817682266, 0.023021401837468147, -0.031780555844306946, 0.019686298444867134, 0...
AnonymousSub/cline-emanuals-s10-SR
[]
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_...
[ -0.00908683892339468, -0.0006770847248844802, 0.009228229522705078, 0.03995707631111145, 0.02682088129222393, -0.02411038428544998, -0.023821353912353516, -0.02221825160086155, -0.02705027535557747, 0.05576734244823456, -0.004999925382435322, -0.000638214114587754, 0.0055029019713401794, 0...
AnonymousSub/cline-papers-roberta-0.585
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
1
2023-02-10T01:01:28Z
--- license: mit tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-classification 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. --> # ti...
[ -0.02509268745779991, 0.006110812071710825, -0.007968451827764511, 0.04369369149208069, 0.03727610036730766, 0.005620483309030533, -0.022224778309464455, -0.007775265257805586, -0.029294222593307495, 0.0630122572183609, 0.02103487029671669, -0.027529217302799225, 0.013997100293636322, 0.04...
AnonymousSub/declutr-biomed-roberta-papers
[ "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...
7
2023-02-10T01:33:29Z
--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1-base instance_prompt: skkjuju tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - skkjuju These are LoRA adaption weights for [stabilityai/stable-diffusion-2-1-ba...
[ -0.037860967218875885, -0.0349496528506279, -0.0083572156727314, 0.03229905292391777, 0.04640619084239006, -0.004212192725390196, -0.006355579011142254, -0.013436748646199703, -0.01058019045740366, 0.05984600633382797, 0.01758257858455181, -0.01536819338798523, -0.023187806829810143, 0.036...
AnonymousSub/declutr-emanuals-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
29
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_...
[ -0.012653768062591553, -0.0012659168569371104, 0.008452082052826881, 0.04233769327402115, 0.02792138047516346, -0.026650261133909225, -0.0209962110966444, -0.02453910931944847, -0.025398336350917816, 0.051671069115400314, -0.006175680551677942, -0.0005924215074628592, 0.003038821741938591, ...
AnonymousSub/declutr-emanuals-s10-SR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
28
2023-02-10T01:48:19Z
--- 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...
[ -0.022561805322766304, -0.004919759929180145, 0.011464251205325127, 0.03872258961200714, 0.03138861805200577, 0.01503585372120142, -0.027091514319181442, -0.014849109575152397, -0.015444082207977772, 0.06075996160507202, 0.005730002652853727, 0.00039849820313975215, 0.011741443537175655, 0...
AnonymousSub/declutr-model
[ "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...
4
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: pg-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_r...
[ -0.02811577543616295, 0.017804397270083427, 0.003408002434298396, 0.012118601240217686, 0.043634772300720215, -0.016076497733592987, -0.0170623566955328, -0.015364842489361763, -0.026982977986335754, 0.0839708223938942, 0.013036015443503857, -0.006830013357102871, 0.01292113121598959, 0.02...
AnonymousSub/declutr-model_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
null
--- datasets: - openwebtext language: - en - fr - es - de metrics: - accuracy library_name: adapter-transformers pipeline_tag: zero-shot-classification tags: - gender - names - lgbtq+ ---
[ -0.014210512861609459, -0.00032447438570670784, 0.010049551725387573, 0.003910423256456852, 0.058387093245983124, 0.01231236569583416, -0.0258934423327446, 0.023158496245741844, -0.04746684432029724, 0.061962418258190155, 0.029277529567480087, 0.00010619563545333222, 0.016953492537140846, ...
AnonymousSub/dummy_2_parent
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
2023-02-10T02:34:39Z
--- 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:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
AnonymousSub/roberta-base_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
25
null
--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1-base instance_prompt: nekotst tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - nekotest1-1 These are LoRA adaption weights for [stabilityai/stable-diffusion-2-...
[ -0.033552635461091995, -0.029998017475008965, -0.015083037316799164, 0.029407232999801636, 0.044637154787778854, 0.012306551449000835, 0.0021065964829176664, -0.0224741343408823, -0.015768738463521004, 0.05776897817850113, 0.02416902966797352, -0.01349823921918869, -0.00936828088015318, 0....
AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- tags: - conversational --- # Lennox Ram DialoGPT Model
[ -0.048914406448602676, 0.041489385068416595, 0.02046484313905239, 0.015180323272943497, 0.015278910286724567, 0.006701030768454075, 0.0006902258610352874, 0.02165977470576763, -0.02015092968940735, 0.014689221978187561, 0.03542675822973251, -0.029196562245488167, 0.009850261732935905, 0.03...
AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### HGS3 Dreambooth model trained by XPeng2022 Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb) Sample pict...
[ -0.03739950433373451, -0.019317742437124252, -0.030146468430757523, 0.03245965763926506, 0.03473200276494026, 0.008697583340108395, 0.007446731440722942, 0.012461378239095211, -0.012822508811950684, 0.04123953729867935, 0.03613569214940071, 0.011957787908613682, -0.023002831265330315, 0.02...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: bert-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. -->...
[ -0.018887855112552643, -0.013566171750426292, -0.022177109494805336, 0.0437704436480999, 0.0492139533162117, 0.02899531088769436, -0.03709208592772484, 0.011392381973564625, -0.024759147316217422, 0.0368264839053154, 0.036289945244789124, -0.0055768839083611965, 0.026742640882730484, 0.039...
AnonymousSub/rule_based_hier_quadruplet_0.1_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
4
null
--- license: mit tags: - generated_from_trainer model-index: - name: prompt-extend-1epoch 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. --> # prompt-extend-1epoch ...
[ -0.03459475189447403, -0.012104030698537827, -0.008539625443518162, 0.035549595952034, 0.030267084017395973, 0.013150988146662712, -0.009961032308638096, -0.0030194800347089767, -0.042442966252565384, 0.06124264746904373, 0.01933911442756653, -0.020615631714463234, 0.011381717398762703, 0....
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
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...
[ -0.049163494259119034, 0.004856051877140999, -0.006255210842937231, 0.05674594268202782, 0.028615381568670273, 0.030419446527957916, -0.0024360099341720343, -0.03505149483680725, -0.00520290806889534, 0.0532304048538208, 0.020383067429065704, -0.014219685457646847, 0.009693647734820843, 0....
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- tags: - Asteroids-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Asteroids-v5 type: Asteroids-v5 metrics: ...
[ -0.009047330357134342, -0.011093092150986195, -0.020232118666172028, 0.023147033527493477, 0.05017324537038803, -0.008683768101036549, -0.024916043505072594, -0.03623885661363602, -0.022264443337917328, 0.06390143185853958, 0.04138755425810814, 0.0023099102545529604, 0.01276326086372137, 0...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - Alien-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Alien-v5 type: Alien-v5 metrics: - type: me...
[ -0.02729678899049759, -0.015151593834161758, -0.018966885283589363, 0.032279111444950104, 0.04239095002412796, 0.006007589865475893, -0.036028195172548294, -0.03374850004911423, -0.01587599702179432, 0.07056106626987457, 0.03675822913646698, -0.012397908605635166, 0.0003628100093919784, 0....
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
2023-02-10T05:23:48Z
--- tags: - Amidar-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Amidar-v5 type: Amidar-v5 metrics: - type:...
[ -0.006941137835383415, -0.013103789649903774, -0.01577286422252655, 0.041332948952913284, 0.03747046738862991, 0.004364200867712498, -0.021602097898721695, -0.03670015558600426, -0.026771169155836105, 0.07159801572561264, 0.03297225758433342, -0.014583241194486618, -0.0064934962429106236, ...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - Alien-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Alien-v5 type: Alien-v5 metrics: - type: me...
[ -0.02796497568488121, -0.014592643827199936, -0.01912037841975689, 0.03201790526509285, 0.042261604219675064, 0.005770337767899036, -0.035557154566049576, -0.033776674419641495, -0.015925297513604164, 0.07043429464101791, 0.03761837258934975, -0.012844657525420189, 0.0005265114596113563, 0...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
28
null
--- tags: - Assault-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Assault-v5 type: Assault-v5 metrics: - ty...
[ -0.012241031043231487, -0.016931138932704926, -0.031136898323893547, 0.03226318582892418, 0.04378141835331917, 0.005229300819337368, -0.019228123128414154, -0.024147456511855125, -0.025450313463807106, 0.06883834302425385, 0.03644920513033867, -0.011593232862651348, 0.001659250003285706, 0...
AnonymousSub/rule_based_roberta_hier_quadruplet_0.1_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- tags: - Atlantis-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Atlantis-v5 type: Atlantis-v5 metrics: -...
[ -0.03265999257564545, -0.017948949709534645, -0.023626577109098434, 0.030300715938210487, 0.027614641934633255, 0.0018711163429543376, -0.03517639636993408, -0.023437313735485077, -0.01048962865024805, 0.0604434572160244, 0.03795505315065384, -0.01612456515431404, -0.0012619727058336139, 0...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- tags: - Atlantis-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Atlantis-v5 type: Atlantis-v5 metrics: -...
[ -0.03224678337574005, -0.0179847851395607, -0.024004366248846054, 0.030660243704915047, 0.028199732303619385, 0.002001391025260091, -0.03517010435461998, -0.02340804599225521, -0.010364163666963577, 0.06029919907450676, 0.037919577211141586, -0.016446087509393692, -0.0009390970808453858, 0...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
--- tags: - Asterix-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Asterix-v5 type: Asterix-v5 metrics: - ty...
[ 0.0015742211835458875, -0.014256786555051804, -0.014754575677216053, 0.036319468170404434, 0.036405257880687714, 0.0013765139738097787, -0.03079601749777794, -0.026749568060040474, -0.028520705178380013, 0.06821303069591522, 0.016760988160967827, -0.01458167377859354, -0.01168694905936718, ...
AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- tags: - BattleZone-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BattleZone-v5 type: BattleZone-v5 metrics:...
[ -0.010479800403118134, -0.018477797508239746, -0.030824201181530952, 0.035592854022979736, 0.034982357174158096, 0.0077377683483064175, -0.013394732028245926, -0.01761041209101677, -0.017759833484888077, 0.0619082897901535, 0.031587421894073486, -0.019426744431257248, -0.0035624743904918432,...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- tags: - BattleZone-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BattleZone-v5 type: BattleZone-v5 metrics:...
[ -0.01119860727339983, -0.018651360645890236, -0.03073347732424736, 0.03564988449215889, 0.03446783870458603, 0.008030158467590809, -0.013451856561005116, -0.017561515793204308, -0.017674000933766365, 0.06192326173186302, 0.03093460388481617, -0.019101856276392937, -0.003409142605960369, 0....
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: mit language: ja tags: - luke - pytorch - transformers - jsts - stsb - sentence-similarity - SentenceSimilarity --- # このモデルはluke-japanese-baseをファインチューニングして、JSTS(文章の類似度計算)に用いれるようにしたものです。 このモデルはluke-japanese-baseを yahoo japan/JGLUEのJSTS( https://github.com/yahoojapan/JGLUE )...
[ -0.01659056730568409, -0.032799333333969116, -0.014816869050264359, 0.06987723708152771, 0.019786929711699486, 0.03387989476323128, -0.0009769118623808026, -0.0009955809218809009, -0.06115809082984924, 0.07586837559938431, 0.029132256284356117, -0.018301738426089287, 0.02035500667989254, 0...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
--- tags: - Bowling-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Bowling-v5 type: Bowling-v5 metrics: - ty...
[ -0.008064151741564274, 0.004798415116965771, 0.0045466236770153046, 0.03115173801779747, 0.02116098813712597, -0.0012466700281947851, -0.014804039150476456, -0.010896684601902962, -0.018514880910515785, 0.06406337022781372, 0.00987498089671135, -0.019915832206606865, 0.0036921242717653513, ...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
25
null
--- tags: - Berzerk-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Berzerk-v5 type: Berzerk-v5 metrics: - ty...
[ -0.0041938722133636475, -0.008632887154817581, -0.02367185615003109, 0.042487483471632004, 0.03083273582160473, 0.012741058133542538, -0.01937723159790039, -0.023096473887562752, -0.01623053476214409, 0.07987851649522781, 0.03614512458443642, -0.006186730228364468, -0.009211679920554161, 0...
AnonymousSub/rule_based_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
2023-02-10T06:59:18Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: NERTESTINGCAROLINE2 results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # NERTESTINGCARO...
[ -0.03597060590982437, -0.00849851407110691, -0.004731486085802317, 0.03399752080440521, 0.04134846478700638, 0.008764210157096386, -0.01980074681341648, -0.019371461123228073, -0.037413276731967926, 0.06511399149894714, 0.003410192672163248, -0.02427223138511181, 0.01938606984913349, 0.044...
AnonymousSub/rule_based_twostagetriplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
10
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...
[ -0.021508879959583282, -0.006072039715945721, 0.011088910512626171, 0.03944478929042816, 0.0329391174018383, 0.014811791479587555, -0.028880268335342407, -0.016634676605463028, -0.015817752107977867, 0.06062650308012962, 0.005935178138315678, 0.0004408040549606085, 0.008720174431800842, 0....
AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_social-roberta-large-v1-3-7 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an eff...
[ -0.014462770894169807, -0.028599219396710396, -0.006397610995918512, 0.05913757160305977, 0.02870386466383934, 0.022784357890486717, -0.030593134462833405, -0.0034988662227988243, -0.038401514291763306, 0.0653291866183281, 0.029479393735527992, 0.019167406484484673, 0.030017858371138573, 0...
AnonymousSub/specter-bert-model_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: ttz --- ### ttz_470 Dreambooth model trained by aichina 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 Notebo...
[ -0.033333443105220795, -0.033845461905002594, -0.013902464881539345, 0.033987127244472504, 0.023480961099267006, 0.019737735390663147, -0.03513423353433609, -0.018921349197626114, -0.015040983445942402, 0.04604972526431084, 0.02783782407641411, 0.011683017015457153, -0.02542910911142826, 0...
AnonymousSub/specter-bert-model_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
1
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.02161834016442299, -0.013073666952550411, 0.010639629326760769, 0.03139273822307587, 0.02393173798918724, 0.02536078914999962, 0.005456999875605106, -0.006948109716176987, -0.006427075248211622, 0.06214732304215431, -0.0006298210937529802, -0.015957240015268326, 0.024623794481158257, 0....
AnonymousSub/specter-emanuals-model
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: mit tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-muchocine 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...
[ -0.01882489025592804, -0.0004941404913552105, 0.002545163268223405, 0.04534868150949478, 0.049373332411050797, 0.016342714428901672, -0.023811250925064087, -0.025744028389453888, -0.022103819996118546, 0.06313828378915787, 0.017776137217879295, -0.03263171762228012, 0.0022709290497004986, ...
AnonymousSub/unsup-consert-base
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- tags: - Centipede-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Centipede-v5 type: Centipede-v5 metrics: ...
[ -0.018777675926685333, -0.011423169635236263, -0.014022113755345345, 0.02356443740427494, 0.029827343299984932, 0.006655027158558369, -0.021844031289219856, -0.04058418050408363, -0.02710600011050701, 0.07308458536863327, 0.01985805667936802, -0.020679112523794174, 0.0019494974985718727, 0...
AnonymousSub/unsup-consert-base_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
2023-02-10T07:31:47Z
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_calendar-roberta-large-v1-3-93 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ...
[ -0.012714733369648457, -0.022666683420538902, -0.005747442599385977, 0.06339411437511444, 0.030055953189730644, 0.024306947365403175, -0.029053306207060814, -0.006002424750477076, -0.03981318697333336, 0.06926975399255753, 0.023817753419280052, 0.019857268780469894, 0.02975132316350937, 0....
AnonymousSub/unsup-consert-base_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_play-roberta-large-v1-3-71 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an effi...
[ -0.013604532927274704, -0.028215579688549042, -0.0032794929575175047, 0.05797872319817543, 0.02949659340083599, 0.023299559950828552, -0.026214800775051117, -0.006957456935197115, -0.036211490631103516, 0.06589145213365555, 0.022838765755295753, 0.019621582701802254, 0.027192872017621994, ...
AnonymousSub/unsup-consert-papers
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # sst2-custom-setfit-model 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 learnin...
[ -0.0106383441016078, -0.0305266585201025, -0.01571888104081154, 0.0620364211499691, 0.030759166926145554, 0.027665195986628532, -0.022167140617966652, 0.0030326859559863806, -0.039912473410367966, 0.06594926863908768, 0.027720559388399124, 0.021023884415626526, 0.03157937526702881, 0.01749...
Anonymreign/savagebeta
[]
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 model-index: - name: layoutlm-funsd 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. --> # layoutlm-funsd This model is a fine-tun...
[ -0.017495231702923775, 0.009833264164626598, 0.0013177483342587948, 0.04360148683190346, 0.01753995195031166, 0.01858649216592312, -0.004110162612050772, -0.02587161399424076, -0.039026305079460144, 0.04128028824925423, 0.03240751475095749, -0.0312885083258152, 0.012365034781396389, 0.0207...
Anorak/nirvana
[ "pytorch", "pegasus", "text2text-generation", "unk", "dataset:Anorak/autonlp-data-Niravana-test2", "transformers", "autonlp", "co2_eq_emissions", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
7
null
--- tags: - Centipede-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Centipede-v5 type: Centipede-v5 metrics: ...
[ -0.018584320321679115, -0.012067004106938839, -0.014244631864130497, 0.023481473326683044, 0.030268574133515358, 0.0070946007035672665, -0.021755723282694817, -0.03992703929543495, -0.026755016297101974, 0.07244522869586945, 0.019391926005482674, -0.020780684426426888, 0.002029203809797764, ...
AnthonyNelson/DialoGPT-small-ricksanchez
[ "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...
12
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 ...
[ -0.03780074417591095, -0.0029396452009677887, -0.005191710777580738, 0.025732509791851044, 0.04508213326334953, -0.021411897614598274, -0.0052869380451738834, -0.028044747188687325, -0.033472973853349686, 0.06663497537374496, 0.032570190727710724, -0.023488255217671394, 0.0229380801320076, ...
Anthos23/FS-distilroberta-fine-tuned
[ "pytorch", "roberta", "text-classification", "transformers", "has_space" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
33
null
--- tags: - ChopperCommand-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: ChopperCommand-v5 type: ChopperCommand-v5 ...
[ -0.022654348984360695, -0.013738108798861504, -0.023981867358088493, 0.025842683389782906, 0.035054050385951996, -0.00023034265905153006, -0.023669106885790825, -0.018594784662127495, -0.013737638480961323, 0.07422345131635666, 0.043301261961460114, -0.018755173310637474, -0.0006294436752796...
Anthos23/distilbert-base-uncased-finetuned-sst2
[ "tf", "tensorboard", "distilbert", "text-classification", "transformers", "generated_from_keras_callback", "license:apache-2.0" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
21
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...
[ -0.021689148619771004, -0.005267185624688864, 0.010875646956264973, 0.039171479642391205, 0.03153252229094505, 0.015334169380366802, -0.028348295018076897, -0.015850398689508438, -0.015341660939157009, 0.06060164421796799, 0.005806777626276016, 0.0002914785873144865, 0.010080549865961075, ...
Anthos23/sentiment-roberta-large-english-finetuned-sentiment-analysis
[]
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-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02225314825773239, -0.005598130170255899, 0.010346333496272564, 0.0393168106675148, 0.03190692886710167, 0.014490234665572643, -0.028790676966309547, -0.01602724753320217, -0.015298162586987019, 0.06111183017492294, 0.006031651049852371, 0.000740217452403158, 0.01025718729943037, 0.0236...
Anthos23/test_trainer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - CrazyClimber-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CrazyClimber-v5 type: CrazyClimber-v5 me...
[ -0.02292180061340332, -0.010239188559353352, -0.02674618549644947, 0.027029914781451225, 0.038490552455186844, -0.007925206795334816, -0.01064692996442318, -0.011429982259869576, -0.015558220446109772, 0.07486557960510254, 0.03138243779540062, -0.010233147069811821, 0.0040068370290100574, ...
AntonClaesson/finetuning_test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Defender-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Defender-v5 type: Defender-v5 metrics: -...
[ -0.012352813966572285, -0.015071038156747818, -0.015629759058356285, 0.02884405292570591, 0.03426816686987877, 0.006656973157078028, -0.018263280391693115, -0.027785802260041237, -0.01793575845658779, 0.06345944851636887, 0.020499147474765778, -0.012670418247580528, 0.007933699525892735, 0...
Antony/mint_model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Defender-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Defender-v5 type: Defender-v5 metrics: -...
[ -0.012310692109167576, -0.014981814660131931, -0.01567983254790306, 0.02907668426632881, 0.03378494456410408, 0.006632514763623476, -0.018797362223267555, -0.02832002006471157, -0.018118657171726227, 0.06381861865520477, 0.02062729001045227, -0.012136898003518581, 0.00740923872217536, 0.03...
Anubhav23/IndianlegalBert
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - autotrain - vision - image-classification datasets: - AllanOuii/autotrain-data-resnet50_mask_classification widget: - src: https://cph.temple.edu/sites/cph/files/styles/tu_is_news_detail/public/images/news/2020/08/Mask_Couple_cropped.jpg?itok=GWPDmgcq&c=2ea712dc3192aacbbeff64473f7ee7b8 example_title: Mask...
[ -0.01542233768850565, -0.022034596651792526, 0.018442966043949127, 0.0379461795091629, 0.06477969884872437, -0.0018385713919997215, -0.023250171914696693, 0.01006365567445755, -0.02487548440694809, 0.062279000878334045, -0.0007535701151937246, 0.01230061985552311, 0.008938495069742203, 0.0...
Anubhav23/indianlegal
[]
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-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021649111062288284, -0.005090194288641214, 0.01071325596421957, 0.03863474354147911, 0.031927440315485, 0.01560419425368309, -0.028589902445673943, -0.015637720003724098, -0.015137586742639542, 0.06147059425711632, 0.006708212662488222, 0.0006830171914771199, 0.010833840817213058, 0.023...
Aplinxy9plin/toxic-detection-rus
[]
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: - DemonAttack-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: DemonAttack-v5 type: DemonAttack-v5 metri...
[ -0.02796991541981697, -0.011932112276554108, -0.021401001140475273, 0.031315457075834274, 0.04171160236001015, -0.0013986951671540737, -0.017806168645620346, -0.0213979110121727, -0.026888011023402214, 0.07427717000246048, 0.045653149485588074, -0.010841712355613708, -0.0007991613238118589, ...
Appolo/TestModel
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - DoubleDunk-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: DoubleDunk-v5 type: DoubleDunk-v5 metrics:...
[ -0.01647832803428173, -0.008313370868563652, -0.0020223476458340883, 0.02396572381258011, 0.03611112758517265, -0.013487903401255608, -0.009730271063745022, -0.028722451999783516, -0.02088690549135208, 0.05747606232762337, 0.02478048950433731, -0.018581727519631386, 0.007050110958516598, 0...
ArBert/albert-base-v2-finetuned-ner-agglo
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- tags: - DemonAttack-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: DemonAttack-v5 type: DemonAttack-v5 metri...
[ -0.027909204363822937, -0.012235824950039387, -0.02178686112165451, 0.03139655292034149, 0.04150981828570366, -0.0018746197456493974, -0.017712391912937164, -0.021066803485155106, -0.026951046660542488, 0.07366453856229782, 0.045099806040525436, -0.010858352296054363, -0.0010397922014817595,...
ArBert/albert-base-v2-finetuned-ner-gmm-twitter
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
2023-02-10T08:25:07Z
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.de split: train ...
[ -0.02573341503739357, -0.00299592362716794, 0.006746665574610233, 0.019327260553836823, 0.02849242463707924, 0.025930482894182205, -0.02410261705517769, -0.01099590677767992, -0.023603850975632668, 0.05004563182592392, 0.02100895531475544, -0.04285852611064911, 0.009102300740778446, 0.0414...
ArBert/albert-base-v2-finetuned-ner-gmm
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- 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...
[ -0.01807420141994953, -0.016516124829649925, -0.006007074844092131, 0.029338613152503967, 0.05120569095015526, -0.017420679330825806, -0.010942508466541767, -0.008714930154383183, -0.05837579816579819, 0.0538274310529232, -0.003032832872122526, -0.008784581907093525, 0.025131864473223686, ...
ArBert/albert-base-v2-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion - anime - aiart --- **This model is trained on 6(+1?) characters from ONIMAI: I'm Now Your Sister! (お兄ちゃんはおしまい!)** ### Example Generations ![00009-20230210181727-min.png](https://huggingface.co/alea31415/onimai-characters/resolve/main/exampl...
[ -0.024592872709035873, -0.00837340485304594, -0.004076761193573475, 0.053724389523267746, 0.0447859913110733, -0.018899574875831604, 0.0005187020869925618, -0.016788840293884277, -0.020291581749916077, 0.05922926962375641, 0.016582468524575233, -0.034896451979875565, 0.005997954402118921, ...
ArBert/albert-base-v2-finetuned-ner
[ "pytorch", "tensorboard", "albert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
19
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-pixel-copter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04009460285305977, 0.0156598798930645, 0.014793859794735909, 0.018130619078874588, 0.04940187558531761, -0.014002264477312565, -0.019602704793214798, -0.026109905913472176, -0.016123231500387192, 0.06718035787343979, 0.037112943828105927, -0.00849548727273941, 0.012549592182040215, -0.0...
ArBert/bert-base-uncased-finetuned-ner-agglo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_transport-roberta-large-v1-4-3 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ...
[ -0.014389281161129475, -0.02915525808930397, -0.008509025909006596, 0.05988641828298569, 0.02979354001581669, 0.024852046743035316, -0.024018848314881325, -0.004137586802244186, -0.0372956283390522, 0.06663403660058975, 0.024107519537210464, 0.019859403371810913, 0.02551778219640255, 0.024...
ArBert/bert-base-uncased-finetuned-ner-kmeans-twitter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-10T08:40:42Z
--- language: - ace - acm - acq - aeb - af - ajp - ak - als - am - apc - ar - ars - ary - arz - as - ast - awa - ayr - azb - azj - ba - bm - ban - be - bem - bn - bho - bjn - bo - bs - bug - bg - ca - ceb - cs - cjk - ckb - crh - cy - da - de - dik - dyu - dz - el - en - eo - et - eu - ee - fo - fj - fi - fon - fr - fu...
[ -0.006005685310810804, -0.0032382498029619455, -0.017110904678702354, 0.06059593707323074, 0.03558320179581642, 0.02180091291666031, 0.00024059264978859574, -0.02082066424190998, -0.058338187634944916, 0.032118022441864014, -0.01363588497042656, -0.043927475810050964, -0.0022638500668108463,...
ArBert/bert-base-uncased-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "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...
6
2023-02-10T08:44:06Z
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_calendar-roberta-large-v1-4-93 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ...
[ -0.012281907722353935, -0.02253922075033188, -0.005540361627936363, 0.0635492205619812, 0.03007647395133972, 0.023801548406481743, -0.029124844819307327, -0.0062658218666911125, -0.03971515968441963, 0.06917693465948105, 0.024013899266719818, 0.02007397636771202, 0.029710030183196068, 0.02...
ArBert/bert-base-uncased-finetuned-ner
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
8
null
--- 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...
[ -0.022402888163924217, -0.005541226826608181, 0.010034911334514618, 0.03987734019756317, 0.03210088983178139, 0.01520820427685976, -0.028697490692138672, -0.01589418575167656, -0.015541917644441128, 0.061484985053539276, 0.007120766676962376, 0.0010380245512351394, 0.011140061542391777, 0....
ArBert/roberta-base-finetuned-ner-agglo-twitter
[ "pytorch", "tensorboard", "roberta", "token-classification", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
12
null
--- license: creativeml-openrail-m datasets: - fka/awesome-chatgpt-prompts language: - en library_name: speechbrain pipeline_tag: text2text-generation tags: - finance - legal --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base template for new mod...
[ -0.031038254499435425, -0.010655657388269901, -0.011409023776650429, 0.017811914905905724, 0.03461330011487007, 0.045951709151268005, -0.014298156835138798, -0.005741931963711977, -0.018661055713891983, 0.05160300433635712, 0.050983965396881104, -0.01367254089564085, 0.015942255035042763, ...
ArBert/roberta-base-finetuned-ner-gmm-twitter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_play-roberta-large-v1-4-71 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an effi...
[ -0.013429712504148483, -0.02813459001481533, -0.0026915348134934902, 0.0579240545630455, 0.029491562396287918, 0.02270757034420967, -0.026124026626348495, -0.007092529907822609, -0.03600852191448212, 0.0656859278678894, 0.022815261036157608, 0.019699430093169212, 0.027309561148285866, 0.02...
ArBert/roberta-base-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "roberta", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:mit", "model-index", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
8
null
--- 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:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
ArJakusz/DialoGPT-small-stark
[ "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...
8
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_datetime-roberta-large-v1-4-94 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ...
[ -0.008110973052680492, -0.02803911082446575, -0.005220926832407713, 0.05620871111750603, 0.03008587285876274, 0.02344764582812786, -0.024127710610628128, -0.005178734194487333, -0.03779679536819458, 0.06877877563238144, 0.026390481740236282, 0.023777831345796585, 0.025834370404481888, 0.02...
Araf/Ummah
[]
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
2023-02-10T09:08:25Z
--- tags: - FishingDerby-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FishingDerby-v5 type: FishingDerby-v5 me...
[ -0.010800106450915337, -0.014042839407920837, 0.00029633441590704024, 0.03697289153933525, 0.04852284863591194, 0.00567355053499341, -0.038774605840444565, -0.03458022326231003, -0.02844071201980114, 0.07290738075971603, 0.03192184865474701, -0.017842350527644157, -0.006517119240015745, 0....
AragornII/DialoGPT-small-harrypotter
[]
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: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/massive_recommendation-roberta-large-v1-4-18 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained usi...
[ -0.012449977919459343, -0.02430064231157303, 0.0007141107926145196, 0.06294691562652588, 0.03172333911061287, 0.019662586972117424, -0.028289472684264183, -0.001170454197563231, -0.03729924187064171, 0.06690044701099396, 0.02945741079747677, 0.020980922505259514, 0.021902646869421005, 0.02...
Aran/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...
8
null
--- tags: - FishingDerby-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FishingDerby-v5 type: FishingDerby-v5 me...
[ -0.01071305200457573, -0.013895891606807709, 0.0005268659442663193, 0.03705989941954613, 0.04814307764172554, 0.005612758453935385, -0.03893853724002838, -0.03475271910429001, -0.028522996231913567, 0.07314180582761765, 0.03208935260772705, -0.018003178760409355, -0.006333816796541214, 0.0...