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
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: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.001_pretrainedTrue_epochs1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and c...
[ -0.017274169251322746, -0.01407269760966301, -0.009886631742119789, 0.028604861348867416, 0.037872519344091415, 0.02331716939806938, -0.024372732266783714, -0.0006622870569117367, -0.04383746534585953, 0.044546835124492645, 0.03248095512390137, -0.011441847309470177, 0.015312888659536839, ...
Alireza1044/bert_classification_lm
[ "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...
35
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03208804503083229, -0.002505197189748287, -0.01944635435938835, 0.05068470165133476, 0.03958842530846596, 0.025864548981189728, -0.0021920125000178814, -0.03579891100525856, -0.02756354957818985, 0.04756353422999382, 0.022954227402806282, -0.005271662957966328, 0.01956086792051792, 0.02...
Alireza1044/michael_bert_lm
[ "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...
10
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: tiny-vanilla-target-conll2003 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and compl...
[ -0.016636880114674568, 0.00857499148696661, -0.0032866785768419504, 0.03737209364771843, 0.032306406646966934, -0.0006455259281210601, -0.004134767223149538, -0.027801640331745148, -0.03014831431210041, 0.060205791145563126, 0.008463436737656593, -0.025324329733848572, 0.013654927723109722, ...
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
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.01_pretrainedTrue_epochs1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and co...
[ -0.016800018027424812, -0.013138938695192337, -0.010329941287636757, 0.027649592608213425, 0.038117967545986176, 0.023433439433574677, -0.02525508962571621, -0.00031339432462118566, -0.043522074818611145, 0.04345613345503807, 0.030933186411857605, -0.010564874857664108, 0.015219475142657757,...
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
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.1_pretrainedTrue_epochs1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and com...
[ -0.0163919348269701, -0.012812397442758083, -0.009887213818728924, 0.027164610102772713, 0.03873203322291374, 0.023213526234030724, -0.026294652372598648, 0.00006777068483643234, -0.044337719678878784, 0.042882103472948074, 0.031574808061122894, -0.011785630136728287, 0.01592501439154148, ...
Aliyyu/Keren
[]
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
2023-01-16T10:15:36Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-snli-target-glue-qqp 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...
[ -0.022557653486728668, -0.0005069320905022323, 0.002729185624048114, 0.03759735822677612, 0.053067781031131744, -0.0015558681916445494, 0.0049752299673855305, -0.008303440175950527, -0.038075581192970276, 0.04654360190033913, 0.004578042309731245, -0.03154846653342247, 0.030371759086847305, ...
AllwynJ/HarryBoy
[ "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
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-finetuned-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos config: plus ...
[ -0.007343454752117395, 0.002403762424364686, -0.026393428444862366, 0.04032100737094879, 0.047110460698604584, 0.014376139268279076, -0.032024502754211426, -0.024294517934322357, -0.02806202322244644, 0.054396092891693115, 0.005972335580736399, -0.013681012205779552, 0.01908658631145954, 0...
Aloka/mbart50-ft-si-en
[ "pytorch", "tensorboard", "mbart", "text2text-generation", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-vanilla-target-rotten_tomatoes results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then re...
[ -0.01011431124061346, 0.00565055338665843, 0.00506860576570034, 0.03098108246922493, 0.04197563976049423, -0.003852497087791562, -0.0030274970922619104, -0.020256282761693, -0.02548077143728733, 0.05456539988517761, 0.00942144077271223, -0.01868860237300396, 0.010312307626008987, 0.0513000...
Alstractor/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
40
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: basic-q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/...
[ -0.02085060067474842, -0.015538540668785572, -0.006795885041356087, 0.027198728173971176, 0.04572466015815735, -0.0005652022664435208, -0.016777953132987022, 0.005061126779764891, -0.03717547282576561, 0.05133724585175514, 0.012742791324853897, -0.003649295773357153, 0.012273887172341347, ...
Altidore/DuggFace
[]
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 --- Use at your own risk: ```python from transformers import AutoFeatureExtractor, AutoModelForImageClassification from datasets import load_dataset import torch feature_extractor = AutoFeatureExtractor.from_pretrained("fxmarty/tiny-testing-remote-code") model = AutoModelForImageClassificati...
[ -0.021308673545718193, -0.02220669947564602, 0.0011106369784101844, 0.03421248495578766, 0.055025864392519, 0.01930517889559269, -0.008734844624996185, -0.013749462552368641, 0.0018682173686102033, 0.06468003243207932, 0.020663447678089142, 0.0026564854197204113, 0.00834362581372261, 0.044...
Amalq/distilroberta-base-finetuned-MentalHealth
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 language: - en - fr - es - multilingual widget: - text: "Critical levels of out of school children were reported, with 72% of respondents pointing to moderate to high numbers of primary school age not accessing <mask>" --- # HumBert HumBert (Humanitarian Bert) is a [XLM-Roberta](https://hugg...
[ 0.004211521707475185, -0.03344077244400978, -0.03738943487405777, 0.05338296666741371, 0.061478644609451294, 0.03887030854821205, -0.026418713852763176, -0.02752925269305706, 0.0023635090328752995, 0.04553196579217911, 0.0087877307087183, -0.021615704521536827, -0.0011782211950048804, 0.02...
Amalq/distilroberta-base-finetuned-anxiety-depression
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - wildcard datasets: - TrpFrog/trpfrog-icons widget: - text: an icon of trpfrog --- # DreamBooth model for the trpfrog concept trained by Prgckwb on the TrpFrog/trpfrog-icons dataset. This is a...
[ -0.010890327394008636, -0.019093887880444527, -0.020121661946177483, 0.020406566560268402, 0.04172785207629204, 0.0012265730183571577, 0.002278662519529462, 0.00034136962494812906, 0.008299059234559536, 0.05044746771454811, 0.03174961358308792, 0.009168026968836784, 0.0063161905854940414, ...
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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: small-vanilla-target-conll2003 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and comp...
[ -0.01970079354941845, 0.014424142427742481, -0.009924541227519512, 0.03144247829914093, 0.03190849721431732, 0.004696579650044441, -0.003986470401287079, -0.02974688448011875, -0.03274901956319809, 0.06233683601021767, 0.012532651424407959, -0.03408408537507057, 0.021761925891041756, 0.035...
AmazonScience/qanlu
[ "pytorch", "roberta", "question-answering", "en", "dataset:atis", "transformers", "license:cc-by-4.0", "autotrain_compatible", "has_space" ]
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...
494
2023-01-16T10:35:17Z
--- 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...
[ -0.015591205097734928, -0.019444799050688744, -0.0038954790215939283, 0.02933531254529953, 0.05113166198134422, -0.01864640600979328, -0.010524522513151169, -0.009290387853980064, -0.060092195868492126, 0.0557040236890316, -0.0008770301355980337, -0.009640338830649853, 0.02674040012061596, ...
AmitT/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.03745471313595772, -0.002650052774697542, -0.004811662714928389, 0.025503220036625862, 0.045369941741228104, -0.021802211180329323, -0.005419586319476366, -0.027762632817029953, -0.033603690564632416, 0.06662152707576752, 0.03259094059467316, -0.02328525483608246, 0.023225609213113785, ...
Andres2015/HiggingFaceTest
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-wikitext-target-rotten_tomatoes results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.004835658241063356, -0.009354977868497372, 0.0013569670263677835, 0.023934349417686462, 0.03294578567147255, 0.009263221174478531, -0.015277124010026455, -0.022706404328346252, -0.018273742869496346, 0.0599370077252388, 0.02054545097053051, -0.02002282254397869, 0.01609751209616661, 0.0...
AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:common_voice", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "hf-asr-leaderboard", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
6
null
--- license: creativeml-openrail-m --- https://civitai.com/models/4452/futaallv7
[ -0.03611424192786217, -0.009675451554358006, -0.000006951805517019238, 0.010128113441169262, 0.049122221767902374, 0.04459892213344574, -0.0020560340490192175, -0.010042850859463215, -0.029797429218888283, 0.03548726812005043, 0.04727086424827576, 0.012397876009345055, 0.02927977778017521, ...
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
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: amyeroberts/my_food_classifier 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. --> # amy...
[ -0.022539829835295677, -0.007069366052746773, -0.0016983834793791175, 0.032441526651382446, 0.03220280632376671, 0.0016141714295372367, -0.01118379831314087, -0.014676305465400219, -0.02752559445798397, 0.05434427410364151, 0.024756480008363724, -0.016020944342017174, 0.02232702076435089, ...
AnonymousSub/AR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: en inference: false tags: - onnx - exbert license: apache-2.0 datasets: - bookcorpus - wikipedia --- # ONNX export of bert-base-uncased Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in [this paper](https://arxiv.org/abs/1810.04805) and first rel...
[ -0.0075968229211866856, 0.0018312210449948907, -0.017309540882706642, 0.06354331970214844, 0.023233123123645782, 0.03169633075594902, -0.023546641692519188, -0.038409747183322906, -0.027203591540455818, 0.050043486058712006, 0.014261428266763687, -0.00501609081402421, 0.015871461480855942, ...
AnonymousSub/AR_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...
5
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 ...
[ -0.037613287568092346, -0.0025306083261966705, -0.005067438818514347, 0.02535395696759224, 0.045354217290878296, -0.021968282759189606, -0.005214819218963385, -0.027865462005138397, -0.0333867073059082, 0.066401906311512, 0.032414842396974564, -0.02416337840259075, 0.022515254095196724, 0....
AnonymousSub/SR_rule_based_bert_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
2023-01-16T15:30:39Z
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-all results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment....
[ -0.04212665185332298, -0.010029473342001438, 0.003309833351522684, 0.034002240747213364, 0.023653659969568253, 0.02294429950416088, -0.016832297667860985, -0.004243565257638693, -0.028271006420254707, 0.04790602624416351, 0.026680169627070427, -0.049633946269750595, 0.021212439984083176, 0...
AnonymousSub/bert_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.031331617385149, -0.0018685564864426851, -0.017952486872673035, 0.050067756325006485, 0.03802903741598129, 0.02451939880847931, -0.0009120330796577036, -0.037463072687387466, -0.028285127133131027, 0.04762910306453705, 0.022702906280755997, -0.004738562274724245, 0.02122148498892784, 0....
AnonymousSub/consert-s10-SR
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
2023-01-16T16:17:25Z
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: sdcid --- ### Sample pictures of: sdcid (use that on your prompt) ![sdcid 0](https://huggingface.co/AppInApp/e9d98cfd-ad84-4a2c-b36b-0a35a9200a7e/resolve/main/instance_data/sdcid_%281%29.jpg)![sdcid 1](https://huggingface.co/AppInApp/e9...
[ -0.02718871831893921, -0.014843830838799477, -0.02498151734471321, 0.0364261157810688, 0.04378849267959595, 0.01175678987056017, -0.029259026050567627, -0.023163000121712685, -0.047959454357624054, 0.038147296756505966, 0.01756257191300392, 0.021411528810858727, -0.008867062628269196, 0.05...
AnonymousSub/consert-techqa
[ "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
2023-01-16T16:19:48Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb model-index: - name: distilbert-base-uncased-finetuned-imdb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.016754066571593285, 0.006490828935056925, -0.03411591798067093, 0.0466146357357502, 0.04713786393404007, 0.02737927995622158, -0.01979161612689495, -0.026246357709169388, -0.030493194237351418, 0.06532935798168182, 0.04720711708068848, -0.02565331757068634, 0.013852792792022228, 0.04735...
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
2023-01-16T16:20:44Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-second results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 metr...
[ -0.0387924425303936, 0.012090547010302544, 0.01352776400744915, 0.02031203918159008, 0.04921949282288551, -0.014128254726529121, -0.02191418968141079, -0.02782829850912094, -0.019240939989686012, 0.06617284566164017, 0.03831486776471138, -0.0043988958932459354, 0.00561102107167244, -0.0051...
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: - 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...
[ -0.04039563983678818, -0.0022589073050767183, -0.008250712417066097, 0.04941515624523163, 0.029579486697912216, 0.02137448452413082, -0.0249771885573864, -0.03711991012096405, -0.006662339903414249, 0.049076616764068604, 0.01998046226799488, -0.01046511996537447, 0.02058667317032814, 0.031...
AnonymousSub/declutr-emanuals-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
2023-01-16T16:31:39Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: m...
[ -0.02577262558043003, 0.016071205958724022, 0.003479399485513568, 0.008191978558897972, 0.043038252741098404, -0.01756470836699009, -0.02222699671983719, -0.016553912311792374, -0.028775295242667198, 0.08425045758485794, 0.016531668603420258, -0.0034228814765810966, 0.01638110913336277, 0....
AnonymousSub/declutr-model-emanuals
[ "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
2023-01-16T16:33:37Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: small-mlm-snli-target-glue-mrpc 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...
[ -0.030528675764799118, 0.002608880400657654, -0.002797897905111313, 0.03341915085911751, 0.05970846116542816, 0.012797980569303036, -0.0045205652713775635, -0.007443592417985201, -0.03414531424641609, 0.06179383397102356, 0.016414321959018707, -0.03123002126812935, 0.02500065043568611, 0.0...
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
--- license: bigscience-openrail-m --- This model is part of an experiment of pre-training one very deep and another very shallow gpt2 models with similar sizes: * https://huggingface.co/HuggingFaceM4/gpt2-deep-1b56-ratio-33 * https://huggingface.co/HuggingFaceM4/gpt2-shallow-1b32-ratio-85 Size/ratio calculations: ...
[ -0.05007513612508774, -0.012432358227670193, -0.02168579027056694, 0.03700858727097511, 0.029526865109801292, 0.017610976472496986, -0.023687835782766342, -0.006225987337529659, -0.008224407210946083, 0.03613365814089775, 0.002806964097544551, -0.005751205142587423, 0.005827205255627632, 0...
AnonymousSub/declutr-model_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
--- license: bigscience-openrail-m --- This model is part of an experiment of pre-training one very deep and another very shallow gpt2 models with similar sizes: * https://huggingface.co/HuggingFaceM4/gpt2-deep-1b56-ratio-33 * https://huggingface.co/HuggingFaceM4/gpt2-shallow-1b32-ratio-85 Size/ratio calculations: ...
[ -0.05007513612508774, -0.012432358227670193, -0.02168579027056694, 0.03700858727097511, 0.029526865109801292, 0.017610976472496986, -0.023687835782766342, -0.006225987337529659, -0.008224407210946083, 0.03613365814089775, 0.002806964097544551, -0.005751205142587423, 0.005827205255627632, 0...
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
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: ppo-LunarLander-v2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: Lun...
[ -0.03682437911629677, -0.0025800715666264296, -0.0038599632680416107, 0.02448156848549843, 0.04382096603512764, -0.020651761442422867, -0.008199813775718212, -0.027034088969230652, -0.03352637588977814, 0.06959795206785202, 0.03446285054087639, -0.01957237906754017, 0.024849919602274895, 0...
AnonymousSub/declutr-techqa
[ "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...
5
null
--- license: bigscience-openrail-m --- This is last Megatron-Deepspeed checkpoint dump for this model: https://huggingface.co/HuggingFaceM4/gpt2-deep-1b56-ratio-33/ To convert to HF `transformers` format using https://github.com/bigscience-workshop/Megatron-DeepSpeed ``` cd Megatron-DeepSpeed PYTHONPATH=. tools/con...
[ -0.07096368074417114, 0.013837316073477268, -0.020149100571870804, -0.010401743464171886, 0.026778845116496086, 0.04862426593899727, -0.002921813167631626, 0.000882207415997982, -0.014955473132431507, 0.03547189012169838, 0.04450709745287895, 0.014473878778517246, 0.001754950382746756, 0.0...
AnonymousSub/dummy_1
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- license: bigscience-openrail-m --- This is last Megatron-Deepspeed checkpoint dump for this model: https://huggingface.co/HuggingFaceM4/gpt2-shallow-1b32-ratio-85 To convert to HF `transformers` format using https://github.com/bigscience-workshop/Megatron-DeepSpeed ``` cd Megatron-DeepSpeed PYTHONPATH=. tools/co...
[ -0.07127981632947922, 0.013138124719262123, -0.022366654127836227, -0.014041255228221416, 0.02800835110247135, 0.04804275929927826, -0.003095663385465741, 0.004113181959837675, -0.014986705966293812, 0.03702821210026741, 0.044328976422548294, 0.010765149258077145, 0.005345437675714493, 0.0...
AnonymousSub/hier_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
## How to use ```python from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline model = AutoModelForSequenceClassification.from_pretrained("Forturne/Nursing_XR_after_sur") tokenizer = AutoTokenizer.from_pretrained("Forturne/Nursing_XR_after_sur") pipe = pipeline('text-classification', m...
[ -0.03335169330239296, -0.02210313268005848, 0.006268901750445366, 0.050561774522066116, 0.030935831367969513, 0.027014650404453278, -0.021467668935656548, -0.007101846858859062, -0.032204169780015945, 0.04701938480138779, 0.03053423948585987, 0.009447898715734482, 0.0004925751709379256, 0....
AnonymousSub/hier_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: mit tags: - generated_from_trainer datasets: - crows_pairs metrics: - accuracy model-index: - name: crowspairs_trainer_roberta-large_finetuned results: - task: name: Text Classification type: text-classification dataset: name: crows_pairs type: crows_pairs config: crow...
[ -0.029697204008698463, 0.013056683354079723, 0.011276493780314922, 0.04419985041022301, 0.053690873086452484, 0.006588949356228113, -0.03353628143668175, -0.03776092454791069, -0.005592030938714743, 0.046662867069244385, 0.014753293246030807, -0.022957831621170044, 0.02159351296722889, 0.0...
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: mit tags: - generated_from_trainer metrics: - accuracy model-index: - name: winobias_trainer_roberta-large_finetuned results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove th...
[ -0.028295401483774185, 0.007095768582075834, 0.008127025328576565, 0.01961379684507847, 0.029012855142354965, 0.0017475635977461934, -0.02713555470108986, -0.023721005767583847, -0.027477392926812172, 0.045376457273960114, 0.02549244463443756, -0.027919981628656387, 0.010120234452188015, 0...
AnonymousSub/rule_based_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...
4
2023-01-16T17:19:13Z
--- 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...
[ -0.04127923771739006, -0.00121694419067353, -0.008076232858002186, 0.04940245673060417, 0.028572773560881615, 0.0215924009680748, -0.024707049131393433, -0.03692025691270828, -0.005603046156466007, 0.04878157749772072, 0.01872030645608902, -0.009816878475248814, 0.02067178301513195, 0.0307...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa_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...
1
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...
[ -0.040766641497612, -0.0009153940482065082, -0.008106290362775326, 0.047365702688694, 0.02934327907860279, 0.021460460498929024, -0.02496144361793995, -0.037700485438108444, -0.006927059963345528, 0.050154849886894226, 0.019389683380723, -0.00760351587086916, 0.019381660968065262, 0.031065...
AnonymousSub/rule_based_hier_quadruplet_0.1_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...
4
2023-01-16T17:35:21Z
--- 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...
[ -0.040693413466215134, -0.0011912469053640962, -0.007769141346216202, 0.04902580380439758, 0.029634494334459305, 0.022272823378443718, -0.025143759325146675, -0.03597073256969452, -0.006478366907685995, 0.04991703853011131, 0.018450025469064713, -0.009098401293158531, 0.020306523889303207, ...
AnonymousSub/rule_based_hier_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: - fastai --- # Amazing! 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub! # Some next steps 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))! 2. Create a demo in Gradio or Streamlit u...
[ -0.021706635132431984, -0.033120911568403244, 0.0069284033961594105, 0.022917678579688072, 0.010587208904325962, 0.024608587846159935, -0.02954155206680298, -0.016725419089198112, -0.028829533606767654, 0.032675109803676605, 0.03176262229681015, 0.010438955388963223, 0.04351669177412987, 0...
AnonymousSub/rule_based_hier_triplet_0.1_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...
4
null
--- license: creativeml-openrail-m --- # Psychanime v1(FRED) I attempted to fine-tune SD 1.4, resulting in the creation of this particular model. ## Acknowledgements - [Invokeai(UI)](https://invoke-ai.github.io/InvokeAI/) - [SD 1.4](https://huggingface.co/CompVis/stable-diffusion-v1-4) ## Documentation [N/A] ...
[ -0.020877528935670853, -0.009664762765169144, -0.023812443017959595, 0.024153614416718483, 0.04022879898548126, 0.0050252811051905155, 0.0173199325799942, 0.009655164554715157, -0.010976112447679043, 0.04375998303294182, 0.01771831326186657, 0.0013558055507019162, 0.030101649463176727, 0.0...
AnonymousSub/rule_based_hier_triplet_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...
2
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall model-index: - name: bert-base-uncased-finetuned-math_punctuation-ignore_word_parts results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably pr...
[ -0.010136712342500687, 0.007923735305666924, -0.0257315281778574, 0.032475635409355164, 0.02153746783733368, 0.02383038029074669, -0.017740987241268158, -0.01647801883518696, -0.04180799424648285, 0.046283334493637085, 0.013511204160749912, -0.032608550041913986, 0.02740093693137169, 0.042...
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_reward value: 500.00 +/- 0.00 name: mean_reward verified: false...
[ -0.03002004139125347, 0.01672559790313244, -0.00020102648704778403, 0.010607101954519749, 0.0425015352666378, -0.016424907371401787, -0.01919364184141159, -0.020555274561047554, -0.03153376653790474, 0.08014461398124695, 0.016307154670357704, -0.01112349797040224, 0.022908136248588562, 0.0...
AnonymousSub/rule_based_only_classfn_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- 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...
[ -0.04155486077070236, 0.00043549187830649316, -0.011325549334287643, 0.0491349995136261, 0.031822074204683304, 0.023461367934942245, -0.02784937247633934, -0.037915293127298355, -0.009657186456024647, 0.052667174488306046, 0.015890564769506454, -0.010783464647829533, 0.01733560301363468, 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: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.041222114115953445, 0.01625920459628105, 0.013692649081349373, 0.01717234030365944, 0.0478239506483078, -0.012965375557541847, -0.02200254611670971, -0.02184797264635563, -0.01713697426021099, 0.06951206177473068, 0.03598916158080101, -0.006355364806950092, 0.011518481187522411, -0.0067...
AnonymousSub/rule_based_roberta_hier_triplet_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: - 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...
[ -0.050798043608665466, 0.007612784393131733, -0.00772881368175149, 0.058992840349674225, 0.026851579546928406, 0.030437909066677094, -0.0052218069322407246, -0.03387679159641266, -0.004579408094286919, 0.05115529149770737, 0.01713460311293602, -0.014097440056502819, 0.0075461119413375854, ...
AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa_copy
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03203004598617554, -0.003113873302936554, -0.021768253296613693, 0.0533178374171257, 0.03993123397231102, 0.025080393999814987, -0.002414726186543703, -0.03953959047794342, -0.022106215357780457, 0.044242121279239655, 0.017647726461291313, -0.001662025460973382, 0.024819299578666687, 0....
AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- 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...
[ -0.017666557803750038, -0.017489299178123474, -0.0057825385592877865, 0.033003199845552444, 0.05066220462322235, -0.019363978877663612, -0.012864149175584316, -0.012324935756623745, -0.06030873581767082, 0.05760226026177406, -0.005482758395373821, -0.012374507263302803, 0.021249787881970406,...
AnonymousSub/rule_based_roberta_only_classfn_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, "...
27
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/- 2.75 ...
[ -0.01792784407734871, -0.016559474170207977, -0.007066692691296339, 0.027121365070343018, 0.04598318040370941, 0.0010878675384446979, -0.01965484395623207, 0.006999651435762644, -0.037136178463697433, 0.05608794838190079, 0.02004910632967949, -0.009251123294234276, 0.01278510969132185, 0.0...
AnonymousSub/rule_based_roberta_only_classfn_twostage_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...
10
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...
[ -0.0186939537525177, -0.01813027635216713, -0.005364358425140381, 0.0297030471265316, 0.048149529844522476, -0.017741648480296135, -0.013582946732640266, -0.006915675941854715, -0.05784730613231659, 0.05261366069316864, -0.0016746912151575089, -0.00995540153235197, 0.026266230270266533, 0....
AnonymousSub/rule_based_roberta_only_classfn_twostage_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: phonenix-taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +...
[ -0.027180153876543045, -0.016609564423561096, -0.0012792927445843816, 0.0270051509141922, 0.03677418828010559, 0.001208518398925662, -0.024823293089866638, 0.008817865513265133, -0.033396314829587936, 0.04833377152681351, 0.015878234058618546, -0.011052679270505905, 0.016941891983151436, 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
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.02022925764322281, -0.01562856137752533, -0.007031443528831005, 0.028617097064852715, 0.046865396201610565, -0.001307078404352069, -0.018819276243448257, 0.0026202371809631586, -0.04059162735939026, 0.05652545765042305, 0.011522798798978329, -0.012068944983184338, 0.010050092823803425, ...
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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-mlm-snli-target-glue-rte results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this ...
[ -0.035035017877817154, -0.0016781857702881098, -0.003619355382397771, 0.035706374794244766, 0.05887637287378311, 0.020694127306342125, -0.000914018542971462, -0.008847711607813835, -0.04553668946027756, 0.06514057517051697, 0.02053246460855007, -0.03072509355843067, 0.023106778040528297, 0...
AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
2023-01-16T19:35:49Z
--- license: mit tags: - generated_from_trainer datasets: - imagefolder model-index: - name: donut-base-sroie 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. --> # d...
[ -0.03937714546918869, -0.014806099236011505, 0.0019541450310498476, 0.0446816124022007, 0.030029302462935448, 0.0017949712928384542, 0.015837199985980988, -0.0006884706672281027, -0.026488013565540314, 0.027832163497805595, 0.04670364782214165, -0.02767692506313324, 0.022015206515789032, 0...
AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
2023-01-16T19:44:09Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: unit4_reinforce_cp results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: me...
[ -0.02797883190214634, 0.024790383875370026, 0.0029584697913378477, 0.014553920365869999, 0.04494457319378853, -0.022350508719682693, -0.02110758237540722, -0.014344546012580395, -0.03181935101747513, 0.08291319012641907, 0.017973756417632103, -0.006009466480463743, 0.014853297732770443, 0....
AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
24
2023-01-16T19:44:52Z
--- 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/rule_based_roberta_twostagetriplet_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...
5
null
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de-fr results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.035472311079502106, -0.014676391147077084, 0.003767094574868679, 0.02931082807481289, 0.02346758544445038, 0.020827384665608406, -0.018385974690318108, -0.00794150773435831, -0.03008147142827511, 0.045777060091495514, 0.024520160630345345, -0.05223681777715683, 0.00933445617556572, 0.03...
AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-mlm-snli-target-glue-sst2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this...
[ -0.02474949322640896, -0.0013349450891837478, -0.002671689260751009, 0.03490490838885307, 0.059458669275045395, 0.011960981413722038, -0.004260552115738392, -0.005066539626568556, -0.03889694809913635, 0.059788480401039124, 0.007792734540998936, -0.03070124052464962, 0.027912307530641556, ...
AnonymousSub/rule_based_twostagetriplet_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: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-fr results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.fr metrics: - name:...
[ -0.022227760404348373, -0.005335102789103985, 0.002848878735676408, 0.019127383828163147, 0.027793794870376587, 0.02073739469051361, -0.025332361459732056, -0.013342644087970257, -0.01707066409289837, 0.045603808015584946, 0.018242541700601578, -0.04294352978467941, 0.009515272453427315, 0...
AnonymousSub/rule_based_twostagetriplet_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...
5
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.48 +/- 2.77...
[ -0.01833679899573326, -0.015675172209739685, -0.006745720747858286, 0.026632091030478477, 0.04777923598885536, -0.0020936087239533663, -0.018068352714180946, 0.007156516425311565, -0.03704539313912392, 0.05260853096842766, 0.016437096521258354, -0.00826084055006504, 0.012017257511615753, 0...
AnonymousSub/specter-bert-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
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.03987356275320053, 0.015468373894691467, 0.014654256403446198, 0.01773238554596901, 0.04968944564461708, -0.012789379805326462, -0.019873492419719696, -0.023960057646036148, -0.017670873552560806, 0.06773575395345688, 0.03556952625513077, -0.007751761935651302, 0.011013166978955269, -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: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-it results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.it metrics: - name:...
[ -0.024693386629223824, -0.0015737969661131501, 0.004362055566161871, 0.019797956570982933, 0.026469474658370018, 0.02181420847773552, -0.017743516713380814, -0.009753301739692688, -0.015384956263005733, 0.04431622847914696, 0.024657243862748146, -0.044917941093444824, 0.018358293920755386, ...
AnonymousSub/specter-bert-model_copy_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
26
null
--- tags: - generated_from_trainer model-index: - name: Analysis_on_socialmedia_sentiment_on_vaccines 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. --> # Analysis_...
[ -0.032148923724889755, -0.003544330131262541, -0.01738019473850727, 0.03552437946200371, 0.054364051669836044, 0.03603344410657883, -0.022208204492926598, -0.006896558217704296, -0.046347133815288544, 0.053367730230093, 0.04336261376738548, -0.02743573859333992, 0.010423143394291401, 0.026...
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
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3-2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2....
[ -0.01838045008480549, -0.015985529869794846, -0.006261102389544249, 0.027228012681007385, 0.04801108315587044, -0.0012909496435895562, -0.01810487173497677, 0.006835208740085363, -0.03754327446222305, 0.053450677543878555, 0.016229724511504173, -0.007673866581171751, 0.01077943667769432, 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
--- datasets: - oscar language: - sr metrics: - accuracy pipeline_tag: fill-mask tags: - legal ---
[ -0.01584489271044731, -0.007967442274093628, 0.034120652824640274, 0.004773578606545925, 0.05862243473529816, 0.008593564853072166, -0.031843218952417374, 0.020670723170042038, -0.036040883511304855, 0.08219365775585175, 0.037839896976947784, -0.004326901864260435, 0.006414010189473629, 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
null
--- datasets: - Linaqruf/pixiv-niji-journey - openai/webgpt_comparisons - allenai/objaverse language: - de library_name: diffusers ---
[ -0.016855766996741295, -0.0291021466255188, -0.009396016597747803, 0.02411532588303089, 0.05159766972064972, -0.004493281245231628, 0.005343261174857616, -0.01362878642976284, -0.03339521214365959, 0.02900555729866028, 0.002607879228889942, 0.0029151514172554016, 0.008923850953578949, 0.04...
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: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-en results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.en metrics: - name:...
[ -0.024204377084970474, -0.002524272073060274, 0.00696486234664917, 0.022664394229650497, 0.029549527913331985, 0.023464666679501534, -0.022216491401195526, -0.012125402688980103, -0.023701976984739304, 0.046757761389017105, 0.020185500383377075, -0.04717519134283066, 0.014204636216163635, ...
AnonymousSub/unsup-consert-emanuals
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- tags: - conversational --- # Bender DialoGPT Model
[ -0.03702501580119133, 0.021056346595287323, 0.006621259264647961, 0.023513440042734146, 0.007689123507589102, 0.023997146636247635, 0.0029012737795710564, 0.0268924068659544, -0.011649096384644508, 0.01742837391793728, 0.03807462006807327, -0.02119266614317894, 0.018787141889333725, 0.0330...
AnonymousSub/unsup-consert-papers-bert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
9
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - spearmanr model-index: - name: small-mlm-snli-target-glue-stsb 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...
[ -0.03511052951216698, 0.0026641995646059513, -0.016154073178768158, 0.04219289869070053, 0.0595250241458416, 0.006935122888535261, -0.010764955542981625, -0.006974673364311457, -0.043218180537223816, 0.05942240729928017, 0.0031349805649369955, -0.030831534415483475, 0.016555506736040115, 0...
AnonymousSub/unsup-consert-papers
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.01_pretrainedFalse_epochs10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and ...
[ -0.012714945711195469, -0.00520528806373477, -0.005684232339262962, 0.027634253725409508, 0.036598239094018936, 0.016671868041157722, -0.030588708817958832, -0.003348722355440259, -0.037299904972314835, 0.03922880440950394, 0.017745187506079674, -0.02111055888235569, 0.01995765045285225, 0...
AnonymousSubmission/pretrained-model-1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and comple...
[ -0.018230335786938667, -0.00026396577595733106, -0.007305425126105547, 0.03413449227809906, 0.03270544856786728, 0.017246810719370842, -0.01995009183883667, 0.001175404991954565, -0.03816588968038559, 0.03991370275616646, 0.010384968481957912, -0.025020627304911613, 0.02693418599665165, 0....
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
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-medium_sst2_negation0.1_pretrainedFalse_epochs10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complet...
[ -0.018075216561555862, 0.000349014182575047, -0.00683942437171936, 0.03329439088702202, 0.031677935272455215, 0.017155077308416367, -0.020840615034103394, 0.002250649267807603, -0.03891046345233917, 0.039835862815380096, 0.01056596264243126, -0.024042470380663872, 0.027212193235754967, 0.0...
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
--- license: apache-2.0 tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.1_pretrainedFalse_epochs10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and c...
[ -0.01266850158572197, -0.00555272726342082, -0.006343654356896877, 0.02719554305076599, 0.03604289889335632, 0.016860436648130417, -0.03175494819879532, -0.0027665423694998026, -0.036929093301296234, 0.03954582288861275, 0.01472435798496008, -0.020095787942409515, 0.019312523305416107, 0.0...
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
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-large_sst2_negation0.01_pretrainedFalse_epochs10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complet...
[ -0.02247271127998829, -0.00028040618053637445, -0.00041875289753079414, 0.0367131233215332, 0.03816518932580948, 0.0031647509895265102, -0.024271026253700256, -0.016699275001883507, -0.02869013510644436, 0.03933187946677208, 0.016126204282045364, -0.02137688733637333, 0.02750067040324211, ...
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
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-xl_sst2_negation0.1_pretrainedFalse_epochs10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it...
[ -0.016680624336004257, -0.00157687917817384, -0.002627680543810129, 0.03372135013341904, 0.031691327691078186, 0.018089305609464645, -0.024120844900608063, -0.0012545684585347772, -0.03544730320572853, 0.03811304643750191, 0.009969553910195827, -0.027982547879219055, 0.022210512310266495, ...
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
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-large_sst2_negation0.1_pretrainedFalse_epochs10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete...
[ -0.02176685445010662, 0.0005137275438755751, -0.00013991423475090414, 0.03540351986885071, 0.039081986993551254, 0.0025400351732969284, -0.0233193077147007, -0.016956519335508347, -0.02963211201131344, 0.03865351527929306, 0.01636061817407608, -0.021409107372164726, 0.02738642320036888, 0....
Anthos23/my-awesome-model
[ "pytorch", "tf", "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, "...
30
null
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-xl_sst2_negation0.01_pretrainedFalse_epochs10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete i...
[ -0.018168725073337555, -0.00163366983179003, -0.0027915053069591522, 0.03386704996228218, 0.03209664300084114, 0.017752213403582573, -0.0237856637686491, -0.001508849672973156, -0.03459896892309189, 0.03779107704758644, 0.010069059208035469, -0.02742709219455719, 0.02300107106566429, 0.042...
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
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-2500...
[ -0.012019396759569645, -0.029888276010751724, -0.019505493342876434, 0.012672490440309048, 0.034471068531274796, 0.003476734273135662, -0.0022804015316069126, 0.0005997114931233227, -0.04758039116859436, 0.06919103860855103, 0.015308952890336514, -0.022621946409344673, 0.011558068916201591, ...
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
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-all results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment....
[ -0.04156968742609024, -0.00891872774809599, 0.0038625558372586966, 0.03285428136587143, 0.023290429264307022, 0.022738788276910782, -0.017530886456370354, -0.004908839240670204, -0.027467988431453705, 0.04672494903206825, 0.025977082550525665, -0.04997572302818298, 0.020275570452213287, 0....
AntonClaesson/finetuning_test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-xl_sst2_negation0.001_pretrainedTrue_epochs3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it...
[ -0.020766831934452057, -0.010371762327849865, -0.009012449532747269, 0.03257164731621742, 0.03463118150830269, 0.024890968576073647, -0.01918632909655571, -0.0010391413234174252, -0.039043061435222626, 0.04187290370464325, 0.02580808289349079, -0.020028209313750267, 0.018293067812919617, 0...
gaurishhs/API
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - 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...
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
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- # Updated model [here](https://huggingface.co/LucasDash/dash-wdm) ### Dash-Waifu-Diffusion Dreambooth model trained by [Lucas Dash](https://twitter.com/LucasDash_) with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/githu...
[ -0.022875210270285606, -0.016988418996334076, -0.012568692676723003, 0.03864002600312233, 0.022458640858530998, 0.0042137810960412025, 0.01332254521548748, 0.003245823783800006, -0.01371801644563675, 0.03675839304924011, 0.03783772513270378, 0.004766061436384916, -0.007920045405626297, 0.0...
Atarax/rick
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-17T00:08:25Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v3-001 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.5...
[ -0.019083498045802116, -0.014803207479417324, -0.005127754528075457, 0.029943976551294327, 0.04995870217680931, -0.008073142729699612, -0.015291789546608925, -0.0011291124392300844, -0.04780781269073486, 0.05134161561727524, 0.016168665140867233, -0.002102926839143038, 0.018737366423010826, ...
Atchuth/DialoGPT-small-MBOT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - adapter-transformers - roberta datasets: - glue --- # Adapter `WillHeld/pfadapter-roberta-base-tada-adv-NigerianEnglish` for roberta-base An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [glue](https://huggingface.co/datasets/glue/) dataset. This adapter was create...
[ -0.04661779850721359, -0.012947128154337406, 0.004602163098752499, 0.04072258248925209, 0.03938687592744827, 0.047103021293878555, -0.027001578360795975, -0.014341847971081734, -0.053132470697164536, 0.07331257313489914, 0.0029135923832654953, -0.013484686613082886, -0.004421478137373924, ...
Ayah/GPT2-DBpedia
[ "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...
6
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 me...
[ -0.04168088734149933, 0.014258225448429585, 0.014868443831801414, 0.02027924545109272, 0.04943065345287323, -0.013115248642861843, -0.01948867365717888, -0.028354190289974213, -0.01735137216746807, 0.06519065052270889, 0.03658421337604523, -0.007798389531672001, 0.007944492623209953, -0.00...
Ayham/albert_gpt2_summarization_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:xsum", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- license: creativeml-openrail-m language: - ru tags: - Putin, speeches, Russian, politics, war --- GPT2-S, fine-tuned on Putin's speeches scraped from kremlin.ru over last 2 terms of his presidency 2012-2022. 🇺🇦 Slava Ukraini 🇺🇦
[ -0.003077736822888255, -0.011491476558148861, -0.022312449291348457, 0.02085598185658455, 0.08566338568925858, 0.011574937030673027, 0.013775748200714588, 0.007567679043859243, -0.06253311783075333, 0.05081783980131149, 0.04133106768131256, -0.008651998825371265, 0.022761190310120583, 0.01...
Ayham/bert_bert_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- tags: - adapter-transformers - bert datasets: - glue --- # Adapter `WillHeld/pfadapter-bert-base-uncased-tada-adv-aave` for bert-base-uncased An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [glue](https://huggingface.co/datasets/glue/) dataset. This adapter was creat...
[ -0.03765442594885826, -0.007089472841471434, -0.00579310767352581, 0.0482858382165432, 0.03196203336119652, 0.03442402184009552, -0.02439902350306511, -0.022116780281066895, -0.05101624131202698, 0.06838524341583252, -0.00920954067260027, -0.01020012516528368, 0.009404155425727367, 0.02576...
Ayta/Haha
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-uncased-finetuned-labor_space_v2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this co...
[ -0.01487110648304224, 0.003905101213604212, -0.03365566208958626, 0.036971867084503174, 0.06077352166175842, 0.025232482701539993, -0.01669963076710701, -0.026997394859790802, -0.03731741011142731, 0.057325463742017746, 0.04422860965132713, -0.007838142104446888, 0.005582696292549372, 0.03...
AyushPJ/ai-club-inductions-21-nlp-ALBERT
[ "pytorch", "albert", "question-answering", "transformers", "generated_from_trainer", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
8
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: syabusyabu0141/afterabove 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. --> # syabusya...
[ -0.03194737806916237, -0.007382510229945183, -0.010493875481188297, 0.02723182924091816, 0.028608618304133415, 0.01678031124174595, -0.007803349755704403, -0.01842259243130684, -0.03571835905313492, 0.04875167831778526, 0.0050647747702896595, -0.03209095448255539, 0.016967061907052994, 0.0...
BOON/electra-xlnet
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - animal widget: - text: the cat called loulou, with snow in the background language: - zh - en --- # DreamBooth model for loulou cat This is the model for a cat called "Lo...
[ -0.020092254504561424, -0.00997141283005476, -0.017010420560836792, 0.040421515703201294, 0.04186530411243439, 0.026592671871185303, -0.002478795126080513, -0.008758341893553734, -0.02681128866970539, 0.058019209653139114, 0.03752762824296951, -0.01103202160447836, 0.003973694983869791, 0....
BSC-LT/roberta-base-bne-capitel-ner
[ "pytorch", "roberta", "token-classification", "es", "dataset:bne", "dataset:capitel", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "capitel", "ner", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
12
null
--- license: creativeml-openrail-m tags: - stable-diffusion --- 𝓢𝓾𝓹𝓹𝓸𝓻𝓽 𝓜𝓮 𝓞𝓷\ 🧋[**Buymeacoffee**](https://www.buymeacoffee.com/TheSkinnyRat) |☕[**Ko-Fi**](https://ko-fi.com/TheSkinnyRat) |🍵[**Saweria**](https://saweria.co/TheSkinnyRat) # Info > Trainer: [TheSkinnyRat](https://huggingface.co/TheSkinnyRat...
[ -0.02900013141334057, -0.02810046449303627, 0.0013746225740760565, 0.03680508956313133, 0.0428541824221611, 0.018031369894742966, -0.0021428081672638655, 0.0061645349487662315, -0.03215770423412323, 0.04851076379418373, 0.0181818176060915, -0.02096661739051342, 0.004480734001845121, 0.0451...
BSC-LT/roberta-base-bne-capitel-pos
[ "pytorch", "roberta", "token-classification", "es", "dataset:bne", "dataset:capitel", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "capitel", "pos", "license:apache-2.0", "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_...
14
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: eli5_clm-model_v1 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. --> # eli5_clm-model_v1...
[ -0.02639300748705864, -0.012666326947510242, -0.005979171488434076, 0.028476301580667496, 0.03544760122895241, 0.006694478914141655, -0.014614250510931015, -0.005869424436241388, -0.041013989597558975, 0.0633811429142952, 0.01683891750872135, -0.026184111833572388, 0.009749684482812881, 0....
Backedman/DialoGPT-small-Anika
[ "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...
6
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-2500...
[ -0.012019396759569645, -0.029888276010751724, -0.019505493342876434, 0.012672490440309048, 0.034471068531274796, 0.003476734273135662, -0.0022804015316069126, 0.0005997114931233227, -0.04758039116859436, 0.06919103860855103, 0.015308952890336514, -0.022621946409344673, 0.011558068916201591, ...
Bagus/ser-japanese
[]
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: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.039947424083948135, 0.015214216895401478, 0.013664149679243565, 0.01788170635700226, 0.049982599914073944, -0.013472197577357292, -0.019985292106866837, -0.024088488891720772, -0.01776950992643833, 0.06771376729011536, 0.035889025777578354, -0.008537388406693935, 0.011452616192400455, -...
Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition
[ "pytorch", "tensorboard", "wav2vec2", "el", "dataset:aesdd", "transformers", "audio", "audio-classification", "speech", "license:apache-2.0" ]
audio-classification
{ "architectures": [ "Wav2Vec2ForSpeechClassification" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
21
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.76...
[ -0.020064935088157654, -0.015442338772118092, -0.007495933212339878, 0.02565714344382286, 0.04768245294690132, -0.0015065240440890193, -0.018273232504725456, 0.006736308336257935, -0.03713947534561157, 0.05161510035395622, 0.017169421538710594, -0.007109506521373987, 0.011680228635668755, ...
Bala/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
--- 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 ...
[ -0.03968589007854462, -0.01645292155444622, -0.01609223522245884, 0.037133101373910904, 0.049173250794410706, -0.00542388204485178, -0.01362769864499569, -0.024949805811047554, -0.03161973878741264, 0.05419502779841423, 0.023423681035637856, -0.031831443309783936, 0.019008483737707138, 0.0...
BaptisteDoyen/camembert-base-xnli
[ "pytorch", "tf", "camembert", "text-classification", "fr", "dataset:xnli", "transformers", "zero-shot-classification", "xnli", "nli", "license:mit", "has_space" ]
zero-shot-classification
{ "architectures": [ "CamembertForSequenceClassification" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
405,474
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - animal widget: - text: a photo of coco cat wearing awesome glasses in a forest full of sunshine --- # DreamBooth model for the coco concept trained by avocadogogo. This i...
[ -0.03661668673157692, -0.02972462773323059, -0.015858670696616173, 0.036715563386678696, 0.04147612676024437, 0.018567286431789398, -0.01803944632411003, -0.005143425427377224, -0.015116137452423573, 0.04820147901773453, 0.024911340326070786, 0.005288993939757347, -0.005905998405069113, 0....
Barbarameerr/Barbara
[]
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-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...
[ -0.04168414697051048, -0.0021646330133080482, -0.007464781403541565, 0.049630649387836456, 0.028145313262939453, 0.02195035293698311, -0.024849925190210342, -0.03703010454773903, -0.005875355564057827, 0.04855924844741821, 0.018283594399690628, -0.009236440062522888, 0.020820127800107002, ...
Barkavi/totto-t5-base-bert-score-121K
[ "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...
51
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 ...
[ -0.040021564811468124, -0.01699669100344181, -0.015869442373514175, 0.03694073110818863, 0.04820076376199722, -0.004427269101142883, -0.01555386558175087, -0.02309251017868519, -0.028668886050581932, 0.05343703553080559, 0.021092502400279045, -0.030183378607034683, 0.01859997771680355, 0.0...
Barleysack/AERoberta2
[ "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
Access to model 96harsh56/bert_t1 is restricted and you are not in the authorized list. Visit https://huggingface.co/96harsh56/bert_t1 to ask for access.
[ -0.024334358051419258, 0.013993661850690842, -0.019933434203267097, 0.024640554562211037, 0.039078403264284134, 0.01331518217921257, -0.02418876811861992, 0.005032859276980162, -0.041719675064086914, 0.03941494971513748, 0.02253654971718788, -0.006593260448426008, 0.011306420899927616, 0.0...