modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
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stringlengths
51
438k
embedding
list
Aleksandar/bert-srb-ner
[ "pytorch", "bert", "token-classification", "dataset:wikiann", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
4
null
--- language: - zh tags: - infomation extraction - uie license: apache-2.0 --- # UIE信息抽取模型(Pytorch) ## 模型介绍 + [UIE(Universal Information Extraction)](https://arxiv.org/pdf/2203.12277.pdf):Yaojie Lu等人在ACL-2022中提出了通用信息抽取统一框架 `UIE`。 + 该框架实现了实体抽取、关系抽取、事件抽取、情感分析等任务的统一建模,并使得不同任务间具备良好的迁移和泛化能力。 + 为了方便大家使用 `UIE` 的强大能力,[Pad...
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Aleksandra/herbert-base-cased-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "generated_from_trainer", "license:cc-by-4.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8
2022-12-07T09:55:30Z
--- language: de datasets: - Short-Answer-Feedback/saf_legal_domain_german tags: - generated_from_trainer widget: - text: "Antwort: Wird sich nicht an die Auflagen gehalten (unzureichende Eigenbemühung), droht eine Sperrzeit von 1-2 Wochen. Dadurch wird für die genannte zeit keine Leistung gezahlt, die Anspruchsdauer v...
[ 0.007935603149235249, -0.02293417602777481, -0.02161015197634697, 0.03715977072715759, 0.02207241766154766, 0.031447917222976685, -0.017536846920847893, 0.011822194792330265, -0.0610118992626667, 0.05834734067320824, 0.051036324352025986, -0.015819083899259567, -0.006914511788636446, 0.012...
adorkin/xlm-roberta-en-ru-emoji
[ "pytorch", "safetensors", "xlm-roberta", "text-classification", "en", "ru", "dataset:tweet_eval", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
2022-12-07T09:59:38Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuned-self_mlm_medium results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text split: train ...
[ -0.008214876987040043, 0.0037774350494146347, -0.016355108469724655, 0.030750896781682968, 0.03403757885098457, 0.028567681089043617, -0.035208746790885925, -0.01643764227628708, -0.013333290815353394, 0.059161607176065445, 0.04317910596728325, -0.01582752913236618, 0.033640697598457336, 0...
AlekseyKorshuk/horror-scripts
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
19
null
--- 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 ...
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AlekseyKulnevich/Pegasus-QuestionGeneration
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
17
null
--- language: - sk license: apache-2.0 tags: - hf-asr-leaderboard - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Slovak results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition ...
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AlexDemon/Alex
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - xlsum metrics: - rouge model-index: - name: t5-small-finetuned-xlsum-concat-multi-news-withlm results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: xlsum type: xlsum ...
[ -0.015213935635983944, -0.008789793588221073, 0.003098412649706006, 0.038436535745859146, 0.03793353587388992, 0.01046992838382721, -0.020544111728668213, -0.039268676191568375, -0.02727162465453148, 0.05927453562617302, 0.02195647917687893, -0.020153295248746872, -0.009010015986859798, 0....
AlexeyIgnatov/albert-xlarge-v2-squad-v2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-12-07T11:09:03Z
--- license: creativeml-openrail-m language: - en thumbnail: "https://huggingface.co/Norod78/sd2-dreambooth-ClaymationXmas/resolve/main/collage_1.jpeg" tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image datasets: - Norod78/ChristmasClaymation-blip-captions inference: true widget: - text: Whilly Wo...
[ -0.004472461063414812, -0.031734615564346313, -0.008325234986841679, 0.04492296651005745, 0.044345151633024216, 0.0007558287470601499, -0.016453726217150688, -0.017719389870762825, -0.016188280656933784, 0.06943964213132858, 0.017164137214422226, -0.006859765853732824, -0.008806086145341396,...
AlexeyYazev/my-awesome-model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: enAttendantColine --- ### enAttendantColine-v2-512-DreamBooth Dreambooth model trained by eBoreal with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-512 base model You run yo...
[ -0.036346204578876495, -0.020638886839151382, -0.02147766388952732, 0.036792684346437454, 0.029649266973137856, 0.025075087323784828, -0.04323149472475052, -0.021620547398924828, -0.022441541776061058, 0.044243115931749344, 0.024000486359000206, 0.01212980691343546, -0.01803519017994404, 0...
Alireza1044/albert-base-v2-sst2
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
52
null
--- tags: - text-to-image - stable-diffusion - diffusion-models-class - dreambooth-hackathon - wildcard --- # If you want to use this style , the prompt: wgz style **I trianed this weight by using dreambooth** There are three models in the library, V1, V2, and beta V1:WOLP.ckpt V2:wgz v2.ckpt BEAT :wgz ...
[ -0.0040283119305968285, -0.03835407644510269, 0.009037080220878124, 0.03322115167975426, 0.04497946798801422, 0.010942776687443256, -0.00010496304457774386, -0.007392760831862688, -0.0032552785705775023, 0.044653549790382385, 0.043543677777051926, -0.017364369705319405, -0.01682726852595806,...
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
--- 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 ...
[ -0.03755440562963486, -0.0024533537216484547, -0.005376907996833324, 0.02556946687400341, 0.04580577835440636, -0.021340493112802505, -0.0060056536458432674, -0.02754170261323452, -0.032529354095458984, 0.06665531545877457, 0.03184044361114502, -0.02360076829791069, 0.02266809530556202, 0....
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
--- language: - ro license: apache-2.0 tags: - whisper-event pinned: true datasets: - mozilla-foundation/common_voice_11_0 - gigant/romanian_speech_synthesis_0_8_1 model-index: - name: Whisper Medium Romanian results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition data...
[ -0.03752578794956207, -0.027295393869280815, 0.0003314254281576723, 0.03252747282385826, 0.04415867105126381, 0.016298403963446617, -0.010825888253748417, -0.008075938560068607, -0.03826690837740898, 0.0733482837677002, 0.04093238711357117, -0.032767217606306076, 0.010030113160610199, 0.02...
AndreLiu1225/t5-news-summarizer
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
10
null
--- 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 ...
[ -0.03761953115463257, -0.0032548471353948116, -0.005365695804357529, 0.025555411353707314, 0.04517456889152527, -0.021206321194767952, -0.005550314672291279, -0.027663161978125572, -0.03330696001648903, 0.0667281225323677, 0.032406240701675415, -0.023525036871433258, 0.02268330566585064, 0...
AndrewChar/model-QA-5-epoch-RU
[ "tf", "distilbert", "question-answering", "ru", "dataset:sberquad", "transformers", "generated_from_keras_callback", "autotrain_compatible" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
109
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: swin-tiny-patch4-window7-224-finetuned-eurosat results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder ...
[ -0.024370135739445686, 0.0025102461222559214, -0.007821982726454735, 0.03381839022040367, 0.041173096746206284, -0.008992721326649189, -0.015338865108788013, 0.02111757919192314, -0.0032978395465761423, 0.06280627101659775, 0.009800581261515617, -0.007359771989285946, 0.009270409122109413, ...
Andy1621/uniformer
[ "license:mit", "has_space" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: asmug --- ### asmug Dreambooth model trained by jayshreeanand with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via `diffusers` [Colab ...
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AndyyyCai/bert-base-uncased-finetuned-copa
[ "pytorch", "bert", "multiple-choice", "transformers" ]
multiple-choice
{ "architectures": [ "BertForMultipleChoice" ], "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_ngra...
4
null
--- language: - as license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Assamese results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name...
[ -0.042429182678461075, -0.008987285196781158, -0.009391200728714466, 0.03481176123023033, 0.04886658489704132, 0.017571542412042618, -0.0007245962624438107, -0.00954674556851387, -0.018620338290929794, 0.07800241559743881, 0.027288639917969704, -0.041087064892053604, 0.016551349312067032, ...
Anirbanbhk/Hate-speech-Pretrained-movies
[ "tf", "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...
20
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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AnonymousSub/AR_rule_based_only_classfn_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
# QP ``` Dataset: MSCOCO Learning Rate: 5e-5 ``` ## Text Diversity Metrics ``` Semantic Similarity: SBERT Syntactic Diversity: Dependency Parse Tree edit distance Lexical Diversity: Character-level edit distance Phonological Diversity: Rhythmic Diversity Morphological Diversity: POS edit distance. ``` ## Results `...
[ -0.018608704209327698, 0.007122032810002565, -0.01697308011353016, 0.047115400433540344, 0.030066898092627525, 0.004651561379432678, 0.0015558515442535281, 0.023554831743240356, -0.019613422453403473, 0.035887960344552994, 0.014960705302655697, -0.021808339282870293, 0.03708435222506523, 0...
AnonymousSub/AR_rule_based_roberta_bert_triplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
2022-12-07T15:45:52Z
--- language: - fi license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: Whisper Medium Fi - Teemu Sormunen results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: C...
[ -0.029641468077898026, -0.010615944862365723, -0.003130866214632988, 0.0362137146294117, 0.051755521446466446, 0.019008738920092583, -0.0012224771780893207, 0.0007877332391217351, -0.05053737387061119, 0.06423173099756241, 0.03280014172196388, -0.027643587440252304, 0.026022199541330338, 0...
AnonymousSub/AR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- tags: - generated_from_trainer datasets: - decision_transformer_gym_replay model-index: - name: output 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. --> # outp...
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AnonymousSub/AR_rule_based_roberta_twostagetriplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: - ca library_name: nemo datasets: - mozilla-foundation/common_voice_11_0 thumbnail: null tags: - automatic-speech-recognition - speech - audio - CTC - citrinet - pytorch - NeMo license: cc-by-4.0 widget: - example_title: CV sample 1 src: https://huggingface.co/projecte-aina/stt-ca-citrinet-512/tree/main...
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AnonymousSub/AR_rule_based_twostagetriplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
5
null
Access to model picikkk/Ai is restricted and you are not in the authorized list. Visit https://huggingface.co/picikkk/Ai to ask for access.
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AnonymousSub/AR_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...
6
null
--- language: - it license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Italian results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: ...
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AnonymousSub/SR_cline
[ "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
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semanti...
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AnonymousSub/SR_consert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: apache-2.0 datasets: - tals/vitaminc - SetFit/mnli - snli - fever - paws - scitail language: - en --- This is an NLI model based on T5-XXL that predicts a binary label ('1' - Entailment, '0' - No entailment). It is trained similarly to the NLI model described in the [TRUE paper (Honovich et al, 2022)](htt...
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AnonymousSub/SR_rule_based_hier_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semanti...
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AnonymousSub/SR_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
--- 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....
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AnonymousSub/SR_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...
8
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: huggan/smithsonian_butterflies_subset metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this com...
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AnonymousSub/SR_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...
4
null
--- language: - swe license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: Whisper Small Swe - Swedish results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. Y...
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AnonymousSub/SR_rule_based_roberta_twostagetriplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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AnonymousSub/SR_rule_based_roberta_twostagetriplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- language: - et license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: 'Whisper Small et ' results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: C...
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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
2022-12-07T17:55:33Z
--- language: - it license: apache-2.0 tags: - generated_from_trainer - whisper-event datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: whisper-tiny-it results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: mozil...
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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
2022-12-07T17:56:00Z
--- tags: - generated_from_trainer datasets: - imdb model-index: - name: enlm-roberta-130-imdb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # enlm-roberta-130...
[ -0.023431235924363136, 0.0010702232830226421, -0.018704107031226158, 0.04016990587115288, 0.03766380250453949, 0.03640808165073395, -0.03551815450191498, -0.027383115142583847, -0.03201707825064659, 0.06047266721725464, 0.041800156235694885, -0.01924007199704647, 0.013440144248306751, 0.04...
AnonymousSub/declutr-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, "...
26
2022-12-07T18:23:15Z
--- 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 ...
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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
2022-12-07T18:47:31Z
--- 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 ...
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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
2022-12-07T18:49:11Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: defau...
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AnonymousSub/roberta-base_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
2022-12-07T18:49:29Z
# VLP Dataset Metadata --- library_name: keras tags: - Clasificacion imagen-detection - Deteccion LED --- ## Model description This dataset was acquired during the dissertation entitled **Optical Camera Communications and Machine Learning for Indoor Visible Light Positioning**. This work was carried out in the acade...
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AnonymousSub/rule_based_bert_hier_diff_equal_wts_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
2022-12-07T18:57:53Z
--- 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 ...
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
2022-12-07T19:17:08Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
2022-12-07T19:20:50Z
--- 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 ...
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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
2022-12-07T19:38:10Z
readme file for the project for huggingface/openaigym # OpenAI Gym This is my repo of the OpenAI Gym, which is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball. ## Installation To install, simply: ```...
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AnonymousSub/rule_based_bert_triplet_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
2022-12-07T19:44:31Z
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: en datasets: - lmqg/qg_tweetqa pipeline_tag: text2text-generation tags: - question answering widget: - text: "question: What is a person called is practicing heresy?, context: Heresy is any provocative belief or theory that i...
[ 0.014434801414608955, -0.009140406735241413, -0.019122034311294556, 0.027455400675535202, 0.06565479934215546, 0.01705009490251541, -0.007552909664809704, 0.0028886955697089434, -0.04397334158420563, 0.021567996591329575, 0.022756483405828476, 0.01942232996225357, 0.005049689672887325, 0.0...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
2022-12-07T19:51:51Z
--- 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...
[ -0.04193245619535446, -0.0012430136557668447, -0.00779013941064477, 0.049521464854478836, 0.028570689260959625, 0.02125890552997589, -0.025007300078868866, -0.03673997148871422, -0.0054001216776669025, 0.048671573400497437, 0.019207090139389038, -0.00910621602088213, 0.02065424621105194, 0...
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
2022-12-07T19:53:02Z
--- 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 ...
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AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
2022-12-07T20:05:12Z
--- language: - it license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Tiny it 9 results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name...
[ -0.03264757990837097, -0.004902712069451809, -0.0009717271896079183, 0.032621558755636215, 0.0351485013961792, 0.0020424260292202234, 0.004376384895294905, -0.002595306374132633, -0.02711978368461132, 0.0663970410823822, 0.029370339587330818, -0.02765609510242939, 0.007052661385387182, 0.0...
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
2022-12-07T20:13:15Z
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.02194717898964882, -0.012320682406425476, 0.011239955201745033, 0.031594619154930115, 0.02590164542198181, 0.0264927688986063, 0.005880297161638737, -0.009451190941035748, -0.006246140226721764, 0.06315841525793076, -0.0022370272781699896, -0.016689114272594452, 0.02555251494050026, 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
2022-12-07T20:16:45Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - wnut_17 metrics: - precision - recall - f1 - accuracy model-index: - name: my_awesome_wnut_model results: - task: name: Token Classification type: token-classification dataset: name: wnut_17 type: wnut_17 config: wn...
[ -0.03228916972875595, -0.0038727791979908943, -0.017974352464079857, 0.02901333011686802, 0.035323236137628555, 0.01948455162346363, -0.01770646870136261, -0.02434360235929489, -0.015211062505841255, 0.0718206837773323, 0.04745475947856903, -0.002101292135193944, -0.009804005734622478, 0.0...
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
2022-12-07T20:28:25Z
--- 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 ...
[ -0.03746437653899193, -0.0027225641533732414, -0.0054009659215807915, 0.025257272645831108, 0.04488157853484154, -0.02156764827668667, -0.004998547025024891, -0.027968794107437134, -0.033483508974313736, 0.06653674691915512, 0.032818593084812164, -0.023919276893138885, 0.022384371608495712, ...
AnonymousSub/rule_based_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
2022-12-07T20:30:05Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
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AnonymousSub/rule_based_only_classfn_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...
32
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...
[ -0.039813462644815445, -0.0030227389652282, -0.007844674400985241, 0.049238841980695724, 0.02906368300318718, 0.021204913035035133, -0.024812862277030945, -0.035614993423223495, -0.005418827757239342, 0.048559434711933136, 0.018021363765001297, -0.008812337182462215, 0.018864070996642113, ...
AnonymousSub/rule_based_only_classfn_twostage_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
10
2022-12-07T20:52:37Z
--- language: - as license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Medium Assamese - Drishti Sharma results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition d...
[ -0.036547064781188965, -0.005758154671639204, -0.008585336618125439, 0.03415147215127945, 0.05693163350224495, 0.018194610252976418, -0.004171258769929409, -0.00011894569615833461, -0.023831959813833237, 0.08001048117876053, 0.03476644679903984, -0.03601612523198128, 0.019463390111923218, ...
AnonymousSub/rule_based_only_classfn_twostage_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
2022-12-07T20:52:54Z
--- 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 ...
[ -0.03745127469301224, -0.002486948389559984, -0.005501796957105398, 0.02553747594356537, 0.04566733539104462, -0.02145061269402504, -0.005538693629205227, -0.027736879885196686, -0.03268317133188248, 0.06662927567958832, 0.0325888991355896, -0.023614490404725075, 0.022779004648327827, 0.00...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
2022-12-07T20:54:29Z
--- 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 ...
[ -0.03666968643665314, -0.003115423023700714, -0.00507483072578907, 0.02629723586142063, 0.04637182503938675, -0.021102147176861763, -0.005226109642535448, -0.02796102501451969, -0.033024948090314865, 0.06607279181480408, 0.0324062742292881, -0.02345883846282959, 0.02278398908674717, 0.0011...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2022-12-07T20:59:19Z
--- language: - it license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Italian results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name:...
[ -0.029956549406051636, -0.007651724852621555, -0.004311693366616964, 0.041924577206373215, 0.0345102995634079, 0.007018962875008583, 0.009704294614493847, -0.0035362655762583017, -0.021047569811344147, 0.07618635147809982, 0.03506078943610191, -0.03867238759994507, 0.006954380311071873, 0....
AnonymousSub/specter-emanuals-model
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: KB13-t5-base-finetuned-en-to-regex 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. --> # ...
[ -0.01406189426779747, -0.013560363091528416, 0.001191012212075293, 0.02882346697151661, 0.025095108896493912, 0.015279190614819527, -0.024842336773872375, -0.0007089953287504613, -0.03306889161467552, 0.0368356890976429, 0.009173285216093063, -0.02749280445277691, 0.0034294091165065765, 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
2022-12-08T00:38:42Z
--- license: apache-2.0 pipeline_tag: fill-mask tags: - fill-mask - transformers - en - ko widget: - text: 한국 수도는 [MASK] 입니다. --- # albert-small-kor-v1 - albert-small 한국어 scratch 모델 - [ai_hub 웹데이터 기반 한국어 말뭉치 데이터](https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=624) (약 5...
[ -0.018736232072114944, -0.018705962225794792, 0.017382679507136345, 0.040650490671396255, 0.02971871942281723, 0.019637202844023705, -0.020282676443457603, 0.00047270709183067083, -0.02022281102836132, 0.07755061239004135, 0.0027602806221693754, -0.005846367683261633, 0.019871044903993607, ...
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
2022-12-08T00:39:37Z
--- license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - google/fleurs metrics: - wer model-index: - name: Whisper Medium Pashto results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: google/fleurs ps_af type: googl...
[ -0.016656558960676193, -0.010915212333202362, -0.01073123887181282, 0.04487885907292366, 0.0352482832968235, 0.022382443770766258, -0.0025256795343011618, 0.002473271917551756, -0.018984602764248848, 0.07491089403629303, 0.033878449350595474, -0.028898945078253746, 0.004968541674315929, 0....
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: apache-2.0 --- # Introduction This repo contains ConvEmformer transducer models that have been converted to ncnn format. You can use models from this repo with <https://github.com/k2-fsa/sherpa-ncnn> for speech recognition. It runs on x86 machines as well as on embedded devices. Note: It has only 18.6 M...
[ -0.07996335625648499, -0.0034370506182312965, -0.015330154448747635, 0.009338797070086002, 0.052083712071180344, 0.007676376029849052, -0.01426322478801012, 0.0034114362206310034, -0.04446300491690636, 0.05504535883665085, 0.024318844079971313, 0.010099714621901512, 0.015422157943248749, 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
2022-12-08T01:25:56Z
--- language: is datasets: - language-and-voice-lab/samromur_asr - language-and-voice-lab/samromur_children - language-and-voice-lab/malromur_asr - language-and-voice-lab/althingi_asr tags: - audio - automatic-speech-recognition - icelandic - xlrs-53-icelandic - iceland - reykjavik - samromur license: cc-by-4.0 widget:...
[ -0.012126180343329906, -0.044342223554849625, -0.013104709796607494, 0.05115484446287155, 0.07069703191518784, 0.005976452026516199, 0.005862910766154528, -0.022911857813596725, -0.05615011230111122, 0.07344404608011246, 0.01885603368282318, -0.02104746364057064, 0.00645671458914876, 0.032...
Apisate/DialoGPT-small-jordan
[ "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
2022-12-08T02:56:24Z
# iSEEEK Generative pretraining from the rankings of top expressing genes. It was trained on more than 20 million single-cell transcriptomes with a sequence length of 64.
[ -0.02338450960814953, 0.009342421777546406, -0.0004234720836393535, 0.009090597741305828, 0.054759349673986435, -0.00403066398575902, -0.005949862767010927, 0.017774272710084915, -0.0244735199958086, 0.02975451387465, 0.024024009704589844, -0.025850612670183182, 0.006861843168735504, 0.035...
Appolo/TestModel
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-12-08T03:07:25Z
# iSEEEK Generative pretraining from the rankings of top expressing genes. Finetune on `transcriptome-1024-8-16-128` for 10 epochs with a sequence length of 128.
[ -0.00769910728558898, 0.004688384011387825, 0.019789092242717743, -0.003371533704921603, 0.06603945046663284, -0.009550261311233044, -0.0008818144560791552, 0.0135658485814929, -0.02491074614226818, 0.03125384449958801, 0.027287980541586876, -0.029323622584342957, 0.007044988684356213, 0.0...
Archie/myProject
[]
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 ...
[ -0.03768413886427879, -0.0031317416578531265, -0.004871109966188669, 0.0255502350628376, 0.04557277262210846, -0.02133025787770748, -0.005383262876421213, -0.027167299762368202, -0.033209674060344696, 0.0663294568657875, 0.031781215220689774, -0.02345578372478485, 0.02313506044447422, 0.00...
AriakimTaiyo/DialoGPT-medium-Kumiko
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: huggan/smithsonian_butterflies_subset metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this com...
[ -0.0321136936545372, -0.009709397330880165, -0.006243579555302858, 0.035408779978752136, 0.017898255959153175, 0.011939149349927902, 0.010008216835558414, -0.0050141820684075356, -0.007749075535684824, 0.05541657656431198, 0.008257570676505566, -0.022232359275221825, 0.006588176358491182, ...
ArnaudPannatier/MLPMixer
[]
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 ...
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Arnold/common_voiceha
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - vi license: apache-2.0 tags: - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: openai/whisper-medium results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: mozilla-found...
[ -0.03462856262922287, 0.0008864924893714488, -0.010752502828836441, 0.04292000085115433, 0.039390891790390015, 0.027516499161720276, -0.001033166772685945, -0.008279817178845406, -0.019935037940740585, 0.06360010802745819, 0.0327368825674057, -0.03377657011151314, 0.015587860718369484, 0.0...
ArvinZhuang/BiTAG-t5-large
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
4
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) If you are wondering what would happen when a model trained on a bunch of images pokemons and then...
[ -0.01307373121380806, -0.016071854159235954, 0.003296817420050502, 0.02374391444027424, 0.02759351208806038, 0.028508344665169716, 0.015276857651770115, -0.010320650413632393, -0.003864698112010956, 0.045111604034900665, 0.006897228769958019, -0.0015461364528164268, 0.01624932885169983, 0....
AryanLala/autonlp-Scientific_Title_Generator-34558227
[ "pytorch", "pegasus", "text2text-generation", "en", "dataset:AryanLala/autonlp-data-Scientific_Title_Generator", "transformers", "autonlp", "co2_eq_emissions", "autotrain_compatible", "has_space" ]
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...
103
null
This repo contains pre-trained models, checkpoints, training logs and decoding results of the following pull-request: https://github.com/k2-fsa/icefall/pull/746
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AshLukass/AshLukass
[]
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 ...
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Ashagi/Ashvx
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image inference: false library_name: diffusers extra_gated_prompt: >- One more step before getting this model. This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying...
[ -0.0074144452810287476, -0.00970735028386116, -0.025798065587878227, 0.021496353670954704, 0.039225585758686066, 0.017909839749336243, 0.010089358314871788, -0.005976889748126268, -0.009530341252684593, 0.05553937703371048, 0.017580898478627205, -0.00766805000603199, 0.0006739473319612443, ...
Ashim/dga-transformer
[]
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 ...
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AshtonBenson/DialoGPT-small-quentin-coldwater
[]
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: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007402447983622551, 0.006087760906666517, -0.01590345799922943, 0.01639665849506855, 0.05794370919466019, -0.029109211638569832, 0.0082478579133749, -0.03398699685931206, -0.026189042255282402, 0.06653498113155365, 0.02771891839802265, -0.028064243495464325, -0.0015278477221727371, 0.02...
AshtonBenson/DialoGPT-small-quentin
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail library_name: diffusers tags: - TPU - JAX - Flax - stable-diffusion - text-to-image language: - en ---
[ -0.008183370344340801, -0.019704245030879974, -0.0008286546799354255, 0.015227016992866993, 0.052718713879585266, 0.012676985934376717, 0.00742448540404439, 0.00453916285187006, -0.013500446453690529, 0.029887039214372635, -0.009932649321854115, 0.011990904808044434, 0.02191738784313202, 0...
Aspect11/DialoGPT-Medium-LiSBot
[ "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...
7
null
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: en datasets: - lmqg/qg_tweetqa pipeline_tag: text2text-generation tags: - question answering widget: - text: "question: What is a person called is practicing heresy?, context: Heresy is any provocative belief or theory that i...
[ 0.014937279745936394, -0.00895429216325283, -0.01937764137983322, 0.028058582916855812, 0.06580789387226105, 0.01584508642554283, -0.008152357302606106, 0.0023859746288508177, -0.04502321034669876, 0.022418295964598656, 0.022657236084342003, 0.01960843987762928, 0.004813805688172579, 0.029...
At3ee/wav2vec2-base-timit-demo-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - conversational --- # Walter Bishop DialoGPT Model
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Atarax/rick
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image --- ### dulls on Stable Diffusion via Dreambooth #### model by thomasjeon This your the Stable Diffusion model fine-tuned the dulls concept taught to Stable Diffusion with Dreambooth. It can be used by modifying the `instance_prompt`: **<dulls-avatar> face** You...
[ -0.030867623165249825, -0.017522722482681274, -0.02690240927040577, 0.02332647144794464, 0.026761068031191826, 0.02603854611515999, -0.01728341355919838, -0.0005129713099449873, -0.027911314740777016, 0.04051118716597557, 0.006970425136387348, -0.0023211000952869654, -0.0076938713900744915, ...
Atchuth/DialoGPT-small-MichaelBot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03741716966032982, -0.002850534860044718, -0.005283132195472717, 0.02559908851981163, 0.04544921591877937, -0.02135021984577179, -0.005166091024875641, -0.027660559862852097, -0.03297916799783707, 0.0665455237030983, 0.03261270374059677, -0.023790718987584114, 0.022763414308428764, 0.00...
Ateeb/EmotionDetector
[ "pytorch", "funnel", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "FunnelForSequenceClassification" ], "model_type": "funnel", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
32
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 ...
[ -0.03756576031446457, -0.0025667196605354548, -0.004901770036667585, 0.025602664798498154, 0.045153986662626266, -0.021870652213692665, -0.004886898212134838, -0.028398185968399048, -0.03316574543714523, 0.06632331013679504, 0.032463427633047104, -0.02400088682770729, 0.023050982505083084, ...
Ateeb/QA
[ "pytorch", "distilbert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
4
null
Access to model lmxhappy/topic_correlation_classfication is restricted and you are not in the authorized list. Visit https://huggingface.co/lmxhappy/topic_correlation_classfication to ask for access.
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Ateeb/asd
[]
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...
[ -0.04159117117524147, -0.0012861075811088085, -0.00782682653516531, 0.04923660308122635, 0.028456250205636024, 0.020643729716539383, -0.025572512298822403, -0.036799926310777664, -0.005828403402119875, 0.048749204725027084, 0.017763495445251465, -0.00950287189334631, 0.02019808627665043, 0...
Atiqah/Atiqah
[ "license:artistic-2.0" ]
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: agpl-3.0 --- # Cafe Instagram Unofficial Test v2 This is a test model created to assess the Waifu Diffusion training code, and not intended to be a full-featured or official release. This model has been trained from `runwayml/stable-diffusion-v1-5` for approximately 1.6 epochs on 1.2m images total from ...
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Augustvember/WOKKAWOKKA
[ "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
2022-12-08T07:56:12Z
--- 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...
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Augustvember/WokkaBot4
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8-Slippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8 type: FrozenLake-v1-8x8 metrics: ...
[ -0.021115457639098167, -0.01761724054813385, -0.0012958197621628642, 0.03321821242570877, 0.05189744383096695, -0.022472942247986794, -0.010646538808941841, -0.011808187700808048, -0.05802789330482483, 0.055959269404411316, -0.002558777341619134, -0.009652089327573776, 0.023296987637877464, ...
Axon/resnet34-v1
[ "dataset:ImageNet", "arxiv:1512.03385", "Axon", "Elixir", "license:apache-2.0" ]
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 thumbnail: http://www.huggingtweets.com/tomscott/1670488558148/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width:...
[ 0.008913244120776653, -0.03216639533638954, 0.0005405796109698713, 0.05158063769340515, 0.05020302161574364, 0.010623469948768616, -0.01985708437860012, -0.007869512774050236, -0.03900642320513725, 0.03301949426531792, 0.016643594950437546, 0.0021628467366099358, -0.013843883760273457, 0.0...
Ayham/albert_gpt2_Full_summarization_cnndm
[ "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...
9
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...
[ -0.018183425068855286, -0.017129244282841682, -0.005482588894665241, 0.033944062888622284, 0.05093410238623619, -0.018374880775809288, -0.012163002975285053, -0.011754114180803299, -0.06070871651172638, 0.05745862051844597, -0.0058921463787555695, -0.012068207375705242, 0.021374084055423737,...
Ayham/albert_gpt2_summarization_cnndm
[ "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...
6
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...
[ -0.021306954324245453, -0.015537353232502937, -0.006918891798704863, 0.028471391648054123, 0.046387724578380585, -0.0018335104687139392, -0.018777236342430115, 0.0027659956831485033, -0.040259916335344315, 0.05565839633345604, 0.011559146456420422, -0.012349989265203476, 0.010362127795815468...
Ayham/bert_gpt2_summarization_cnndm_new
[ "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...
8
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...
[ -0.04087701812386513, -0.0016687007155269384, -0.008575303480029106, 0.04958253726363182, 0.02953328564763069, 0.0225382037460804, -0.02488299459218979, -0.037276092916727066, -0.005937010049819946, 0.05012194439768791, 0.019864389672875404, -0.009255797602236271, 0.020142937079072, 0.0308...
Ayham/distilbert_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...
8
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...
[ -0.041202496737241745, -0.0012781583936885, -0.00657779211178422, 0.04967094585299492, 0.02899263985455036, 0.021436797454953194, -0.02501748315989971, -0.036761388182640076, -0.0072381021454930305, 0.049604836851358414, 0.018290475010871887, -0.008688919246196747, 0.021057510748505592, 0....
Ayham/xlnet_roberta_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...
10
2022-12-08T10:25:13Z
--- 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 ...
[ -0.037991173565387726, -0.002784464042633772, -0.005678690038621426, 0.025314640253782272, 0.04555826261639595, -0.021408868953585625, -0.0052101993933320045, -0.02767043747007847, -0.03239171952009201, 0.06652480363845825, 0.0319451168179512, -0.023572010919451714, 0.02261880226433277, 0....
Ayoola/cdial-yoruba-test
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "transformers", "has_space" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
25
2022-12-08T10:37:27Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-tiny-ar-quran 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. --> ...
[ -0.018234269693493843, -0.009883642196655273, 0.00021970682428218424, 0.04891826584935188, 0.03783290833234787, -0.01130388118326664, -0.0024795914068818092, 0.0023046580608934164, -0.029397252947092056, 0.06749150902032852, 0.02100248448550701, -0.022624732926487923, 0.015681196004152298, ...
Ayoola/wav2vec2-large-xlsr-turkish-demo-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-12-08T10:46:18Z
--- language: - pl license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 - google/fleurs model-index: - name: Whisper Small PL results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: moz...
[ -0.02652456983923912, -0.01764870248734951, -0.0008868793956935406, 0.044537559151649475, 0.04203756898641586, 0.005904884077608585, -0.0007692801882512867, -0.006921139545738697, -0.032556015998125076, 0.07052072882652283, 0.02965359389781952, -0.04158297926187515, 0.004652837291359901, 0...
Azuris/DialoGPT-medium-senorita
[ "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...
14
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...
[ -0.04097864776849747, -0.0016908447723835707, -0.008977784775197506, 0.04998371750116348, 0.028420444577932358, 0.022934049367904663, -0.02607620507478714, -0.037508249282836914, -0.0053011467680335045, 0.04904719069600105, 0.020020995289087296, -0.008883659727871418, 0.01990232989192009, ...
BE/demo-sentiment2021
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-12-08T12:21:44Z
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: undefined metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # Diffusion_Model...
[ -0.011464153416454792, -0.019372014328837395, 0.004835666622966528, 0.04235001653432846, 0.015404549427330494, 0.01684989407658577, -0.007726807612925768, 0.0006209334242157638, -0.013656332157552242, 0.05463606119155884, 0.0037229398731142282, -0.0022340838331729174, 0.01386735774576664, ...
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
2022-12-08T12:31:27Z
--- language: - fr license: apache-2.0 tags: - whisper-event - generated_from_trainer - hf-asr-leaderboard datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small French results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition ...
[ -0.020643694326281548, -0.013095643371343613, -0.014292346313595772, 0.03915172442793846, 0.041157159954309464, 0.009794066660106182, -0.015278077684342861, -0.01314742211252451, -0.038824666291475296, 0.07567347586154938, 0.020651547238230705, -0.02951720915734768, 0.0036298618651926517, ...
BSC-LT/RoBERTalex
[ "pytorch", "roberta", "fill-mask", "es", "dataset:legal_ES", "dataset:temu_legal", "arxiv:2110.12201", "transformers", "legal", "spanish", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
24
null
--- language: - it license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper tiny italian - Mattia Surricchio results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition d...
[ -0.032528214156627655, -0.010253717191517353, -0.004186571575701237, 0.04058969393372536, 0.03450917452573776, 0.010612761601805687, 0.0043535856530070305, -0.008167107589542866, -0.022293642163276672, 0.07561288774013519, 0.03966057300567627, -0.04041090980172157, 0.010179816745221615, 0....
BSC-LT/roberta-base-biomedical-clinical-es
[ "pytorch", "roberta", "fill-mask", "es", "arxiv:2109.03570", "arxiv:2109.07765", "transformers", "biomedical", "clinical", "spanish", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
27
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 ...
[ -0.03695537894964218, -0.0025841009337455034, -0.005095988046377897, 0.025800827890634537, 0.04553893953561783, -0.02131011337041855, -0.005270893685519695, -0.027773749083280563, -0.03323088958859444, 0.06640727818012238, 0.03239600732922554, -0.023479705676436424, 0.022830763831734657, 0...
BSC-LT/roberta-base-bne-capitel-ner-plus
[ "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_...
9
null
--- license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - vumichien/preprocessed_jsut_jsss_css10_common_voice_11 metrics: - wer model-index: - name: Whisper Medium Japanese results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: ...
[ -0.033988967537879944, -0.006872263271361589, -0.0035729354713112116, 0.03070509061217308, 0.0386345200240612, 0.018596617504954338, 0.0076668355613946915, -0.0044392673298716545, -0.020273350179195404, 0.06324544548988342, 0.03182433545589447, -0.029833517968654633, 0.02024034596979618, 0...
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 datasets: - common_voice metrics: - wer model-index: - name: wa2vec2-large-xls-r-colab_turkish results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice type: common_voice ...
[ -0.023581692948937416, 0.007498288992792368, -0.021118473261594772, 0.044807057827711105, 0.05337607488036156, 0.03349964693188667, -0.013729259371757507, -0.008372809737920761, -0.016369035467505455, 0.06110440939664841, 0.029739998281002045, -0.025953631848096848, -0.0032419110648334026, ...
BSC-LT/roberta-base-bne
[ "pytorch", "roberta", "fill-mask", "es", "dataset:bne", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
594
null
--- license: creativeml-openrail-m --- # What is this This is a hypernetwork trained to make pictures of Re-l Mayer from Ergo Proxy. Trained on Atlers mix (758f6d9b). Usable on other models aware of anime. Limited usefullness on real-life models. # Installing ## Webui * Download `relmayer.pt` into `stable-diffusion-we...
[ 0.0059596579521894455, 0.012127702124416828, 0.0012176409363746643, 0.010881093330681324, 0.03626083582639694, 0.016793513670563698, -0.03144216164946556, -0.015616651624441147, -0.019626036286354065, 0.03727825731039047, 0.018135858699679375, -0.01147230714559555, 0.008557652123272419, 0....
BSC-LT/roberta-large-bne-sqac
[ "pytorch", "roberta", "question-answering", "es", "dataset:BSC-TeMU/SQAC", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "qa", "question answering", "license:apache-2.0", "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...
15
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: wav2vec2-burak-new-300-v2-8-medium results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this c...
[ -0.01823110692203045, -0.0049394420348107815, -0.01737852394580841, 0.02671881765127182, 0.03773704171180725, 0.016015829518437386, -0.008878292515873909, 0.004339446779340506, -0.02808774821460247, 0.05760879069566727, 0.02871769480407238, -0.030932821333408356, 0.007970254868268967, 0.03...
BSC-LT/roberta-large-bne
[ "pytorch", "roberta", "fill-mask", "es", "dataset:bne", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
24
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 ...
[ -0.03889135643839836, -0.0025502261705696583, -0.0027873048093169928, 0.026696769520640373, 0.042712967842817307, -0.020371032878756523, -0.006449930835515261, -0.028685612604022026, -0.03405909240245819, 0.06906688958406448, 0.03515603765845299, -0.020957788452506065, 0.02065674215555191, ...
Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition
[ "pytorch", "wav2vec2", "audio-classification", "ja", "dataset:jtes", "transformers", "audio", "speech", "speech-emotion-recognition", "has_space" ]
audio-classification
{ "architectures": [ "HubertForSequenceClassification" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
2022-12-08T13:45:34Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: sentiment-model-imdb-small-100-demo results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text spl...
[ -0.017274752259254456, -0.012271513231098652, -0.02958354726433754, 0.0569901242852211, 0.03696421533823013, 0.03784450516104698, -0.012454189360141754, -0.011215864680707455, -0.029653890058398247, 0.06528329104185104, 0.04753632843494415, -0.019143247976899147, 0.017968788743019104, 0.04...