modelId
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tags
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17 values
config
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downloads
int64
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59.7M
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DeepPavlov/xlm-roberta-large-en-ru-mnli
[ "pytorch", "xlm-roberta", "text-classification", "en", "ru", "dataset:glue", "dataset:mnli", "transformers", "xlm-roberta-large", "xlm-roberta-large-en-ru", "xlm-roberta-large-en-ru-mnli", "has_space" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
227
null
--- license: mit tags: - feature-extraction library_name: fasttext language: ur widget: - text: apple example_title: apple --- # fastText (Urdu) fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. ...
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DeltaHub/adapter_t5-3b_cola
[ "pytorch", "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- tags: - 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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Deniskin/essays_small_2000i
[]
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
2023-03-24T07:31:58Z
--- license: mit tags: - feature-extraction library_name: fasttext language: vec widget: - text: apple example_title: apple --- # fastText (Venetian) fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardw...
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Denny29/DialoGPT-medium-asunayuuki
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
2023-03-24T07:32:35Z
--- license: cc-by-nc-4.0 --- License for all my models listed here models https://civitai.com/models/19466/blaest-mix https://civitai.com/models/23668/blaestive-mix
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Denver/distilbert-base-uncased-finetuned-squad
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-24T07:32:56Z
--- 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: ...
[ -0.020678186789155006, -0.017090901732444763, -0.0008535089436918497, 0.02896258607506752, 0.052754081785678864, -0.020769760012626648, -0.008666067384183407, -0.007034362759441137, -0.05604269728064537, 0.05493709817528725, -0.0012623887741938233, -0.007613340858370066, 0.027379576116800308...
DeskDown/MarianMixFT_en-th
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - text-classification - endpoints-template - optimum library_name: generic --- # Optimized and Quantized DistilBERT with a custom pipeline with handler.py > NOTE: Blog post coming soon This is a template repository for Text Classification using Optimum and onnxruntime to support generic inference with Hugg...
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Devrim/prism-default
[ "license:mit" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-24T07:52:36Z
--- 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...
[ -0.019670886918902397, -0.014774652197957039, -0.007309901528060436, 0.024648655205965042, 0.047527242451906204, -0.0020330778788775206, -0.019276343286037445, 0.006042021326720715, -0.03635307401418686, 0.052617546170949936, 0.015086941421031952, -0.007620611693710089, 0.012178904376924038,...
Dhritam/Zova-bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-24T08:00:31Z
--- 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...
[ -0.007689933758229017, 0.005116334650665522, -0.016449008136987686, 0.01628616824746132, 0.05934435501694679, -0.027669066563248634, 0.0071816882118582726, -0.03304550424218178, -0.028122935444116592, 0.06627028435468674, 0.0277992095798254, -0.027250224724411964, -0.0009116304572671652, 0...
Dimedrolza/DialoGPT-small-cyberpunk
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: mit tags: - feature-extraction library_name: fasttext language: pnb widget: - text: apple example_title: apple --- # fastText (Western Punjabi) fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generi...
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Dkwkk/Da
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-24T08:19:24Z
--- 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 ...
[ -0.035231903195381165, -0.0009786582086235285, -0.000700130476616323, 0.029889237135648727, 0.03842111676931381, -0.020596111193299294, -0.0011718232417479157, -0.03437165543437004, -0.02789795771241188, 0.06150307133793831, 0.025672653689980507, -0.03142368420958519, 0.026912221685051918, ...
Dkwkk/W
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - feature-extraction library_name: fasttext language: yi widget: - text: apple example_title: apple --- # fastText (Yiddish) fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardwar...
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Dmitriiserg/Pxd
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Pixelcopter-PLE-v0-1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04164041578769684, 0.013130253180861473, 0.01418125070631504, 0.02053213305771351, 0.04967091977596283, -0.013056420721113682, -0.020059796050190926, -0.028008917346596718, -0.017431380227208138, 0.06459808349609375, 0.0354716032743454, -0.0076041859574615955, 0.00810303445905447, -0.00...
Dmitry12/sber
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: vjsyong/my_awesome_model 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. --> # vjsyong/m...
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DongHai/DialoGPT-small-rick
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-3000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text ...
[ -0.014793561771512032, -0.010712239891290665, -0.030983073636889458, 0.04592974856495857, 0.0368988923728466, 0.03600683808326721, -0.019251998513936996, -0.020668325945734978, -0.03607901185750961, 0.0654490515589714, 0.046099044382572174, -0.018615933135151863, 0.02014125883579254, 0.043...
DongHyoungLee/kogpt2-base-v2-finetuned-kogpt2_nsmc_single_sentence_classification
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - feature-extraction library_name: fasttext language: yo widget: - text: apple example_title: apple --- # fastText (Yoruba) fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware...
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Donghyun/L2_BERT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- datasets: - competitions/aiornot language: - en metrics: - accuracy library_name: keras --- The datasets / https://huggingface.co/datasets/competitions/aiornot from Hugging Face were utilized to construct sequential CNN models using Keras. The above images that have been attached were classified incorrectly by ...
[ -0.05553941801190376, -0.0176436398178339, 0.004426888190209866, 0.03532926365733147, 0.0526772104203701, -0.016666390001773834, -0.028153741732239723, -0.03313027322292328, -0.02093423157930374, 0.0358223058283329, 0.0012075199047103524, 0.015182285569608212, 0.0039456249214708805, 0.0513...
Dongjae/mrc2reader
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
null
--- license: mit tags: - feature-extraction library_name: fasttext language: diq widget: - text: apple example_title: apple --- # fastText (Zazaki) fastText is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardwar...
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Dongmin/testmodel
[ "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...
11
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
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Waynehillsdev/Wayne_NLP_mT5
[ "pytorch", "tensorboard", "mt5", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
11
null
--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1-base instance_prompt: 11JenniferL tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - 11jenniferl These are LoRA adaption weights for [stabilityai/stable-diffusio...
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Waynehillsdev/Waynehills-STT-doogie-server
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
61
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage python ...
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Waynehillsdev/wav2vec2-base-timit-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
null
--- tags: - text-classification - endpoints-template - optimum library_name: generic --- # Optimized and Quantized DistilBERT with a custom pipeline with handler.py > NOTE: Blog post coming soon This is a template repository for Text Classification using Optimum and onnxruntime to support generic inference with Hugg...
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Doquey/DialoGPT-small-Michaelbot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/detoxify-pile-chunk3-50000-100000 - tomekkorbak/detoxify-pile-chunk3-100000-150000 - tomekkorbak/detoxify-pile-chunk3-150000-200000 - tomekkorbak/detoxify-pile-chunk3-200000-250000 - tomekkorbak/detoxify-pile-chunk3-250000-300000 - t...
[ -0.007899020798504353, -0.04013918340206146, -0.02016882784664631, 0.015098700299859047, 0.04054846614599228, 0.024853447452187538, -0.009249103255569935, -0.0020212584640830755, -0.03569217771291733, 0.06635618209838867, 0.017106039449572563, -0.015722669661045074, 0.01772644743323326, 0....
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-12
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
2023-03-24T09:13:41Z
--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1-base instance_prompt: 12JenniferL tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - 12jenniferl These are LoRA adaption weights for [stabilityai/stable-diffusio...
[ -0.04753197729587555, -0.02389197051525116, -0.012783736921846867, 0.039797183126211166, 0.03880747780203819, 0.0027926668990403414, -0.0015574046410620213, -0.023017268627882004, -0.011688568629324436, 0.05078340321779251, 0.024132011458277702, -0.020697390660643578, -0.026808084920048714, ...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8
[ "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
null
--- language: - en tags: - text-classification - emotion - endpoints-template license: apache-2.0 datasets: - emotion metrics: - Accuracy, F1 Score --- # Fork of [bhadresh-savani/distilbert-base-uncased-emotion](https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion)
[ -0.015165134333074093, 0.003493310185149312, -0.008538764901459217, 0.02403203770518303, 0.06364397704601288, 0.041560422629117966, -0.013856754638254642, -0.012529125437140465, -0.03573064133524895, 0.03670980781316757, 0.01710231974720955, -0.04296768456697464, 0.04775816202163696, 0.035...
albert-base-v2
[ "pytorch", "tf", "jax", "rust", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
4,785,283
2023-03-24T09:28:07Z
--- 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 ...
[ -0.037447672337293625, -0.002502650720998645, -0.005317816510796547, 0.025255367159843445, 0.04555707424879074, -0.02162833884358406, -0.004941691178828478, -0.027752161026000977, -0.03354913368821144, 0.06685862690210342, 0.03277180343866348, -0.023649686947464943, 0.022357678040862083, 0...
albert-large-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
26,792
2023-03-24T09:30:01Z
--- license: afl-3.0 datasets: - ag_news language: - en metrics: - accuracy library_name: transformers pipeline_tag: text-classification --- ## Model description This model is a fine-tuned version of the [bert-base-uncased](https://huggingface.co/transformers/model_doc/bert.html) model to classify news articles into o...
[ -0.0381903350353241, -0.0018260645447298884, -0.011336074210703373, 0.05653941258788109, 0.04620184004306793, 0.03536359965801239, -0.025431543588638306, -0.03139583021402359, -0.023889098316431046, 0.05628083646297455, 0.005400534253567457, 0.007163352333009243, 0.0009546501678414643, 0.0...
bert-base-chinese
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "zh", "arxiv:1810.04805", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3,377,486
2023-03-24T09:36:59Z
--- inference: parameters: max_length: 250 temperature: 0.7 top_p: 1 widget: - text: 用户:帮我写一个英文营销方案,针对iphone\n小元: - text: 用户:在他们放弃追讨信用卡账单之前,我可以拖欠多久?\n小元: - text: 用户:帮我用英语写一封求职信,我想找一份深度学习工程师的工作\n小元: - text: 用户:帮我双两个数之和,54+109\n小元: - text: 用户:模拟小李和小王关于通用人工智能的潜力和问题的对话,要求先来一个开场白,然后双方展开讨论\n小元: - text: 用户:帮我生成下...
[ -0.03960680589079857, 0.0034750637132674456, 0.006408791523426771, 0.06655359268188477, 0.03813314810395241, -0.009221185930073261, -0.01779307797551155, -0.018281495198607445, -0.015679771080613136, 0.0368448905646801, 0.007316141854971647, -0.016764279454946518, 0.038032595068216324, 0.0...
bert-base-german-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "exbert", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
175,983
2023-03-24T09:38:19Z
--- tags: - generated_from_trainer model-index: - name: rugpt3small_based_on_gpt2-new_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # rugpt3small_based_o...
[ -0.016590256243944168, -0.020813269540667534, -0.004364534746855497, 0.02740856632590294, 0.04385697469115257, 0.0151735944673419, -0.01079552248120308, -0.012590075843036175, -0.04028230160474777, 0.06193805858492851, 0.002580210566520691, -0.03713938221335411, -0.000041955034248530865, 0...
bert-base-german-dbmdz-uncased
[ "pytorch", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
68,305
2023-03-24T09:40:33Z
--- 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...
[ -0.021163195371627808, -0.014368472620844841, 0.010734569281339645, 0.031980011612176895, 0.02378966473042965, 0.023411307483911514, 0.005953990388661623, -0.007313726004213095, -0.005704773589968681, 0.06202605739235878, -0.0007395849097520113, -0.015699394047260284, 0.02334325574338436, ...
bert-base-multilingual-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4,749,504
2023-03-24T09:42:00Z
--- 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 ...
[ -0.037647124379873276, -0.0027603560592979193, -0.004702728241682053, 0.025540336966514587, 0.04524968937039375, -0.02181980200111866, -0.00535502890124917, -0.027891669422388077, -0.03339722380042076, 0.06659355759620667, 0.032161906361579895, -0.023265521973371506, 0.023279136046767235, ...
bert-large-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
388,769
2023-03-24T09:48:32Z
--- language: - en license: mit tags: - generated_from_trainer - cpsc670 model-index: - name: kejian/cpsc-log15-bin4-3repeat-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...
[ -0.013391717337071896, -0.023340782150626183, -0.017610974609851837, 0.03057870827615261, 0.029342247173190117, 0.01941121742129326, -0.00561600411310792, -0.006637920625507832, -0.04147469252347946, 0.051702652126550674, 0.011408944614231586, -0.03597880154848099, 0.010418100282549858, 0....
bert-large-uncased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
480,510
2023-03-24T09:48:33Z
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/detoxify-pile-chunk3-50000-100000 - tomekkorbak/detoxify-pile-chunk3-100000-150000 - tomekkorbak/detoxify-pile-chunk3-150000-200000 - tomekkorbak/detoxify-pile-chunk3-200000-250000 - tomekkorbak/detoxify-pile-chunk3-250000-300000 - t...
[ -0.007899020798504353, -0.04013918340206146, -0.02016882784664631, 0.015098700299859047, 0.04054846614599228, 0.024853447452187538, -0.009249103255569935, -0.0020212584640830755, -0.03569217771291733, 0.06635618209838867, 0.017106039449572563, -0.015722669661045074, 0.01772644743323326, 0....
ctrl
[ "pytorch", "tf", "ctrl", "en", "arxiv:1909.05858", "arxiv:1910.09700", "transformers", "license:bsd-3-clause", "has_space" ]
null
{ "architectures": null, "model_type": "ctrl", "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_bea...
17,007
null
Access to model Wpatzz/Spam is restricted and you are not in the authorized list. Visit https://huggingface.co/Wpatzz/Spam to ask for access.
[ -0.040767207741737366, -0.012078903615474701, 0.004834464285522699, 0.024302301928400993, 0.051985934376716614, 0.027389686554670334, 0.017614327371120453, 0.02690173126757145, -0.04504747316241264, 0.04932300001382828, 0.05458610877394676, 0.010461541824042797, -0.018103182315826416, 0.04...
distilbert-base-german-cased
[ "pytorch", "safetensors", "distilbert", "fill-mask", "de", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
43,667
2023-03-24T09:52:13Z
--- tags: - spacy language: - de license: mit model-index: - name: de_test_pipeline results: [] --- A test pipeline for ModelManager testing purposes | Feature | Description | | --- | --- | | **Name** | `de_test_pipeline` | | **Version** | `0.1.1` | | **spaCy** | `>=3.5.1,<3.6.0` | | **Default Pipeline** | `tok2vec`...
[ 0.0032018842175602913, -0.01673256792128086, -0.006260901223868132, 0.03247002139687538, 0.07232974469661713, 0.03330058231949806, -0.0028604522813111544, 0.024097023531794548, -0.056059472262859344, 0.054821476340293884, 0.027401143684983253, -0.0172672551125288, 0.02832285314798355, 0.04...
61birds/distilbert-base-uncased-finetuned-cola
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-24T12:40:28Z
--- license: creativeml-openrail-m tags: - stable-diffusion - text-to-image --- <img src="https://huggingface.co/sazyou-roukaku/GenesisLifeMix/resolve/main/sample/33500-%5Bdata%5D_DPM%2B%2B%202M%20Karras30-7.5_4253946134.png" width="512" height="768"> ``` (face focus:1.1), dynamic angle, high res, HD 8k, HDR, (pho...
[ -0.003069337923079729, -0.03577188029885292, -0.0017613794188946486, 0.03272712975740433, 0.0474170483648777, 0.014095690101385117, 0.00850934162735939, -0.020806891843676567, -0.0240495465695858, 0.05111665651202202, 0.02284836955368519, -0.020173100754618645, 0.007038936484605074, 0.0655...
AJ/rick-ai
[]
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
2023-03-24T13:52:10Z
--- license: mit --- <div align="center"> <h1>Images Speak in Images: <br>A Generalist Painter for In-Context Visual Learning </h1> [Xinlong Wang](https://www.xloong.wang/)<sup>1*</sup>, &nbsp; [Wen Wang](https://scholar.google.com/citations?user=1ks0R04AAAAJ&hl)<sup>1,2*</sup>, &nbsp; [Yue Cao](http://yue-cao.me/)<s...
[ 0.0062109739519655704, -0.02926570363342762, -0.003882896387949586, 0.055563848465681076, 0.06793508678674698, -0.00918001588433981, 0.0009226496913470328, -0.02860676310956478, 0.002643992193043232, 0.0601201057434082, 0.004819737747311592, 0.020404668524861336, -0.0010163484839722514, 0....
Abdullaziz/model1
[]
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
2023-03-24T15:55:36Z
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04181266576051712, -0.0026044107507914305, 0.011570784263312817, 0.03720683977007866, 0.025582678616046906, -0.011520115658640862, -0.011122887954115868, -0.025922711938619614, -0.03936885669827461, 0.056361254304647446, 0.03753794729709625, 0.0012263704556971788, 0.01957278698682785, 0...
AdapterHub/bert-base-uncased-pf-quail
[ "bert", "en", "dataset:quail", "arxiv:2104.08247", "adapter-transformers" ]
null
{ "architectures": null, "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": null, "num_bea...
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...
[ -0.02022355981171131, -0.014848933555185795, -0.006628656294196844, 0.02551257237792015, 0.04799399897456169, -0.001513406983576715, -0.01903449185192585, 0.006003720685839653, -0.03805556520819664, 0.05189715325832367, 0.015288391150534153, -0.005919927265495062, 0.011433480307459831, 0.0...
AdapterHub/bioASQyesno
[ "bart", "adapter-transformers", "adapterhub:qa/bioasq" ]
null
{ "architectures": null, "model_type": "bart", "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_bea...
10
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 ...
[ -0.03914395347237587, -0.016361374408006668, -0.015336674638092518, 0.03645814210176468, 0.0487089641392231, -0.005572515074163675, -0.012884278781712055, -0.024122266098856926, -0.031683746725320816, 0.05477551370859146, 0.022686267271637917, -0.031755246222019196, 0.01868259906768799, 0....
AdapterHub/roberta-base-pf-drop
[ "roberta", "en", "dataset:drop", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "architectures": null, "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_...
8
null
--- license: mit widget: - text: ব্রহ্মপুত্র নদের মোট দৈর্ঘ্য কত ? context: বাংলাদেশ ও ভারতের অনেক বৃহৎ নদী পূর্ব থেকে পশ্চিমে প্রবাহিত হয়ে বঙ্গোপসাগরে পতিত হয়েছে। তন্মধ্যে উত্তরদিক থেকে গঙ্গা, মেঘনা এবং ব্রহ্মপুত্র; দক্ষিণদিক থেকে মহানদী, গোদাবরী, কৃষ্ণা, ইরাবতী এবং কাবেরী নদী উল্লেখযোগ্য। ৬৪ কিলোমিটারব্যাপী ...
[ 0.018162064254283905, -0.020721202716231346, -0.01515739131718874, 0.004698753822594881, 0.02053043432533741, 0.035311583429574966, 0.004638838581740856, 0.010396399535238743, -0.05831700190901756, 0.06433934718370438, 0.003269365755841136, -0.03273077309131622, 0.04306608438491821, 0.0312...
Ahmed59/Demo-Team-5-SIAD
[ "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, "...
14
null
--- language: - en pipeline_tag: question-answering ---
[ -0.005619457922875881, -0.007979091256856918, 0.009722706861793995, 0.02025165781378746, 0.048544738441705704, 0.00014094458310864866, -0.0008966644527390599, 0.024051059037446976, -0.04351681470870972, 0.03851759806275368, 0.023097023367881775, -0.006962416227906942, -0.0062581212259829044,...
AhmedBou/TuniBert
[ "pytorch", "bert", "text-classification", "ar", "transformers", "sentiment analysis", "classification", "arabic dialect", "tunisian dialect", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
44
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.029019230976700783, -0.005273059941828251, -0.01744081825017929, 0.051785942167043686, 0.03585532680153847, 0.02621977962553501, -0.0012810991611331701, -0.034396156668663025, -0.024941083043813705, 0.04640834033489227, 0.025962265208363533, -0.009163418784737587, 0.018616002053022385, ...
AidenGO/KDXF_Bert4MaskedLM
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: 10k_test3_nli_finetuned_bert 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...
[ -0.005444102454930544, -0.0029438482597470284, -0.02078360691666603, 0.03261295706033707, 0.03132253512740135, 0.025811735540628433, -0.01624150201678276, -0.030239012092351913, -0.051392994821071625, 0.056564148515462875, 0.00514419237151742, -0.031062304973602295, 0.02952553518116474, 0....
AimB/mT5-en-kr-aihub-netflix
[]
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 --- ### ahx-beta-41e3465 on Stable Diffusion This is the `<ahx-beta-41e3465>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inf...
[ -0.026730941608548164, -0.022260749712586403, -0.03388185426592827, 0.044572796672582626, 0.009451286867260933, 0.018882328644394875, 0.004320355597883463, -0.010861862450838089, -0.03197403624653816, 0.03793767839670181, -0.006490029860287905, -0.009124087169766426, 0.0321238674223423, 0....
Ajay191191/autonlp-Test-530014983
[ "pytorch", "bert", "text-classification", "en", "dataset:Ajay191191/autonlp-data-Test", "transformers", "autonlp", "co2_eq_emissions" ]
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...
34
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.023315997794270515, -0.01632552407681942, -0.006415783427655697, 0.025269467383623123, 0.045153118669986725, -0.0002142556186299771, -0.018762676045298576, 0.007944125682115555, -0.037582676857709885, 0.051437441259622574, 0.016947420313954353, -0.004427093081176281, 0.013691997155547142,...
Akashpb13/xlsr_kurmanji_kurdish
[ "pytorch", "safetensors", "wav2vec2", "automatic-speech-recognition", "kmr", "ku", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-...
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...
10
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.029516346752643585, -0.004883100278675556, -0.018465295433998108, 0.05207301303744316, 0.038951873779296875, 0.02723676525056362, -8.546786602892098e-7, -0.034572094678878784, -0.02419409155845642, 0.0470564104616642, 0.02782408706843853, -0.010331442579627037, 0.01548930536955595, 0.02...
AkshayDev/BERT_Fine_Tuning
[]
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: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.05289768427610397, 0.002194127766415477, -0.004845455288887024, 0.049614306539297104, 0.027529863640666008, 0.03097216784954071, -0.009280651807785034, -0.023553568869829178, -0.0014771060086786747, 0.051936086267232895, 0.02592834271490574, -0.014104066416621208, 0.007485216949135065, ...
AkshaySg/GrammarCorrection
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.050084881484508514, -0.015989819541573524, -0.008805500343441963, 0.03631841391324997, 0.04091814160346985, 0.003288050414994359, -0.021367445588111877, -0.010478492826223373, -0.037906259298324585, 0.05689472332596779, 0.024870144203305244, -0.0028301395941525698, 0.03163324296474457, ...
AkshaySg/gramCorrection
[ "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
--- 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...
[ -0.04004623740911484, 0.015357294119894505, 0.013961807824671268, 0.017400549724698067, 0.0496237576007843, -0.013862943276762962, -0.020433800294995308, -0.02353442832827568, -0.0171513669192791, 0.06764626502990723, 0.035844847559928894, -0.0081484941765666, 0.01142936386168003, -0.00702...
AlanDev/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
2023-03-25T02:29:53Z
--- 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 ...
[ -0.03747988119721413, -0.0024219024926424026, -0.005215381737798452, 0.02542538195848465, 0.04543192684650421, -0.02165250852704048, -0.00592309795320034, -0.028217758983373642, -0.03313677757978439, 0.06679072976112366, 0.03267589583992958, -0.023513488471508026, 0.02230912446975708, 0.00...
Aleksandar/electra-srb-ner-setimes
[ "pytorch", "electra", "token-classification", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "ElectraForTokenClassification" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
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 ...
[ -0.03727388009428978, -0.0028896532021462917, -0.004862004425376654, 0.025668226182460785, 0.04529979079961777, -0.02133377455174923, -0.005606845952570438, -0.02776642143726349, -0.033187996596097946, 0.06681111454963684, 0.03255108371376991, -0.023337826132774353, 0.022771015763282776, 0...
Aleksandar1932/distilgpt2-rock
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.029297826811671257, -0.004502064548432827, -0.019116640090942383, 0.05253315344452858, 0.03700747340917587, 0.02645678073167801, -0.0026455027982592583, -0.035955313593149185, -0.02506689913570881, 0.04659101366996765, 0.02651725336909294, -0.008679992519319057, 0.01859256625175476, 0.0...
Aleksandra/herbert-base-cased-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "generated_from_trainer", "license:cc-by-4.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.04243125393986702, -0.0023165543098002672, -0.005410885438323021, 0.04817705601453781, 0.026549872010946274, 0.018749719485640526, -0.024525662884116173, -0.03293213993310928, -0.003126854542642832, 0.05048461630940437, 0.02140446938574314, -0.01362979132682085, 0.017539847642183304, 0....
adorkin/xlm-roberta-en-ru-emoji
[ "pytorch", "safetensors", "xlm-roberta", "text-classification", "en", "ru", "dataset:tweet_eval", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- license: - apache-2.0 - cc-by-nc-4.0 datasets: pszemraj/fleece2instructions-codealpaca tags: - generated_from_trainer - instruct - instructions - code - instructiongen metrics: - rouge language: - en widget: - text: | git lfs install huggingface-cli lfs-enable-largefiles . git lfs track "*.bin" git ...
[ 0.0040800003334879875, -0.024066653102636337, 0.010327966883778572, 0.046233657747507095, 0.05199863016605377, 0.022026728838682175, -0.018654003739356995, -0.022986577823758125, -0.005433385726064444, 0.061063166707754135, 0.02398015931248665, -0.011960694566369057, 0.02038642019033432, 0...
AlekseyKorshuk/comedy-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...
20
null
--- tags: - Breakout-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Breakout-v5 type: Breakout-v5 metrics: -...
[ -0.02074158750474453, -0.015302160754799843, -0.013094677589833736, 0.02979796752333641, 0.03285162150859833, 0.0005101701826788485, -0.015023214742541313, -0.0037282907869666815, -0.0030418464448302984, 0.08297190070152283, 0.0212971493601799, -0.007246080785989761, 0.004791782703250647, ...
AlekseyKorshuk/horror-scripts
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
19
null
--- license: creativeml-openrail-m language: - en --- # **Chattiori ElementMixes-1:HydroMix** HydroMix is checkpoint merge of ChilloutMix, DDosMix, GravyMix, Deliberate and RetMix. ## Merge Source: ((Chilloutmix-Ni-pruned-fp32-fix (0.7) + DDosMix_v2 (0.3) Weighted Sum) (0.6) + (Gravymix:v3final (0.4) + Deliberate ...
[ -0.03811189532279968, -0.006280325818806887, -0.01631944440305233, -0.006747258827090263, 0.03556138649582863, 0.020598039031028748, -0.004081582184880972, 0.02198740467429161, -0.019711418077349663, 0.07498270273208618, 0.04813160374760628, 0.009558545425534248, 0.017592933028936386, 0.06...
AlekseyKulnevich/Pegasus-HeaderGeneration
[ "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...
8
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents duplicated_from: aj555/poca-SoccerTwos --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unity ML...
[ -0.020306963473558426, -0.004516474436968565, 0.007312615867704153, 0.04134972020983696, 0.03311115503311157, 0.01570412516593933, -0.027784883975982666, -0.01670808158814907, -0.017125749960541725, 0.060585010796785355, 0.007052447181195021, -0.0012272860622033477, 0.009662674739956856, 0...
AlekseyKulnevich/Pegasus-Summarization
[ "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...
7
null
--- license: openrail library_name: diffusers pipeline_tag: text-to-image ---
[ -0.009582461789250374, -0.01720939204096794, -0.00632865447551012, 0.004316668026149273, 0.05952602997422218, 0.005057748407125473, -0.008079162798821926, 0.014635281637310982, -0.026337267830967903, 0.03285208344459534, 0.006515292450785637, 0.022792553529143333, 0.015563559718430042, 0.0...
Alerosae/SocratesGPT-2
[ "pytorch", "gpt2", "feature-extraction", "en", "transformers", "text-generation" ]
text-generation
{ "architectures": [ "GPT2Model" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
7
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04551031440496445, -0.019822504371404648, -0.009986734949052334, 0.03979412466287613, 0.044693779200315475, -0.00027963839238509536, -0.02064782939851284, -0.00994686596095562, -0.03773050010204315, 0.05753057450056076, 0.020764878019690514, -0.004178630653768778, 0.030974026769399643, ...
Alessandro/model_name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.03411157429218292, -0.0038422043435275555, -0.006804058328270912, 0.025735680013895035, 0.050759561359882355, -0.027362510561943054, -0.0005941165145486593, -0.027819158509373665, -0.031779251992702484, 0.06498807668685913, 0.033479172736406326, -0.024807527661323547, 0.021238191053271294...
AlexN/xls-r-300m-fr
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "generated_from_trainer", "hf-asr-leaderboard", "mozilla-foundation/common_voice_8_0", "robust-speech-event", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
17
null
--- library_name: diffusers pipeline_tag: text-to-image --- # Background This model was trained to generate floral patterns! Join our [Discord](https://discord.com/invite/qM84dzKC) for any questions or feedback, or see the links below. # Resources - [Civitai](https://civitai.com/models/26295/floral-patterns) - [Redd...
[ -0.019793670624494553, -0.014310022816061974, 0.0007171494653448462, 0.051913242787122726, 0.01653946004807949, 0.004966613370925188, 0.009654653258621693, 0.00541893532499671, -0.01335386373102665, 0.03609307110309601, 0.02252093330025673, -0.004088204819709063, 0.006148801650851965, 0.04...
Alexander-Learn/bert-finetuned-ner
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
8
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04619487375020981, -0.008236722089350224, 0.019159717485308647, 0.03732207790017128, 0.020040079951286316, -0.012004747986793518, -0.008862973190844059, -0.028565485030412674, -0.03237808495759964, 0.05476018786430359, 0.04077686741948128, 0.001098358421586454, 0.01981358416378498, 0.03...
Alfia/anekdotes
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03682786226272583, -0.017038146033883095, -0.016540275886654854, 0.0510595329105854, 0.01117929257452488, 0.04447409510612488, -0.01840854622423649, -0.002739659510552883, -0.070090651512146, 0.08364398777484894, 0.03946809098124504, 0.013144438154995441, 0.00234610796906054, 0.04092745...
Aliraza47/BERT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Asteroids-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Asteroids-v5 type: Asteroids-v5 metrics: ...
[ -0.013237622566521168, -0.007948598824441433, -0.014324383810162544, 0.02201935648918152, 0.05679132044315338, -0.014455572701990604, -0.02018182910978794, -0.036783892661333084, -0.019201025366783142, 0.06285987794399261, 0.04070035368204117, 0.007196183316409588, 0.013410478830337524, 0....
Alireza-rw/testbot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Asterix-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Asterix-v5 type: Asterix-v5 metrics: - ty...
[ 0.0007283693994395435, -0.01052787434309721, -0.009214798919856548, 0.03485102951526642, 0.04078765958547592, -0.0030929355416446924, -0.028798077255487442, -0.0263320654630661, -0.02667803317308426, 0.06790412962436676, 0.012170103378593922, -0.011031782254576683, -0.009632761590182781, 0...
Alireza1044/albert-base-v2-qqp
[ "pytorch", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
37
null
--- tags: - BankHeist-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BankHeist-v5 type: BankHeist-v5 metrics: ...
[ -0.03141993656754494, -0.020469075068831444, -0.003321876050904393, 0.024414876475930214, 0.03517283871769905, 0.01185581088066101, -0.014836273156106472, -0.006068917457014322, -0.009523307904601097, 0.06865698099136353, 0.037946563214063644, -0.005012947134673595, -0.006219904404133558, ...
Alireza1044/albert-base-v2-rte
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
30
null
--- tags: - Amidar-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Amidar-v5 type: Amidar-v5 metrics: - type:...
[ -0.00866435095667839, -0.009837768040597439, -0.00943694356828928, 0.03995414078235626, 0.04096495360136032, 0.00044332543620839715, -0.019027085974812508, -0.036279596388339996, -0.023975100368261337, 0.07146898657083511, 0.02847360633313656, -0.013910607434809208, -0.006363275460898876, ...
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
--- tags: - Atlantis-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Atlantis-v5 type: Atlantis-v5 metrics: -...
[ -0.03461959585547447, -0.0156291164457798, -0.016219303011894226, 0.02974747121334076, 0.03126734867691994, -0.002459235955029726, -0.034733083099126816, -0.02452598139643669, -0.007651272229850292, 0.05890771374106407, 0.031458523124456406, -0.011619416065514088, -0.002039439743384719, 0....
Alvenir/wav2vec2-base-da
[ "pytorch", "wav2vec2", "pretraining", "da", "transformers", "speech", "license:apache-2.0" ]
null
{ "architectures": [ "Wav2Vec2ForPreTraining" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
62
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04539061337709427, -0.0034692282788455486, 0.010692063719034195, 0.04016633704304695, 0.026809990406036377, -0.009421436116099358, -0.01235507894307375, -0.027249453589320183, -0.040137410163879395, 0.05420989543199539, 0.03637673333287239, 0.0018917964771389961, 0.01661740429699421, 0....
Anamika/autonlp-fa-473312409
[ "pytorch", "roberta", "text-classification", "en", "dataset:Anamika/autonlp-data-fa", "transformers", "autonlp", "co2_eq_emissions" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
35
null
--- tags: - Tutankham-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Tutankham-v5 type: Tutankham-v5 metrics: ...
[ -0.00827585719525814, -0.01034877635538578, -0.012350689619779587, 0.02989640086889267, 0.04556741565465927, 0.0008944099536165595, -0.01753891631960869, -0.021593540906906128, -0.01907522790133953, 0.06479722261428833, 0.02302728034555912, -0.018948467448353767, 0.0010623279958963394, 0.0...
Andranik/TestQA2
[ "pytorch", "electra", "question-answering", "transformers", "generated_from_trainer", "autotrain_compatible" ]
question-answering
{ "architectures": [ "ElectraForQuestionAnswering" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- tags: - Zaxxon-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Zaxxon-v5 type: Zaxxon-v5 metrics: - type:...
[ -0.023702777922153473, -0.010426517575979233, -0.006472485139966011, 0.03448912128806114, 0.03508112579584122, 0.001477686921134591, -0.017160356044769287, -0.020910311490297318, -0.014569871127605438, 0.06329807639122009, 0.029909422621130943, -0.014604443684220314, -0.00630204239860177, ...
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
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.0518614761531353, 0.0019090863643214107, -0.004985000006854534, 0.051091309636831284, 0.024887988343834877, 0.03075973317027092, -0.00979487132281065, -0.021417563781142235, -0.0020639460999518633, 0.050279416143894196, 0.023560214787721634, -0.014656719751656055, 0.0065729934722185135, ...
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
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.05188975855708122, 0.0017404987011104822, -0.006182854063808918, 0.0512399896979332, 0.024815164506435394, 0.03087027370929718, -0.010581372305750847, -0.023554762825369835, -0.0010716553078964353, 0.0494205579161644, 0.023747824132442474, -0.014844832010567188, 0.007287254091352224, 0....
AnjanBiswas/distilbert-base-uncased-finetuned-emotion
[ "pytorch", "distilbert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
37
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - https://huggingface.co/mikephillips/pokemon-lora15 These are LoRA adaption weights for runwayml...
[ -0.03356892988085747, -0.013287273235619068, -0.023318622261285782, 0.024767039343714714, 0.04632338136434555, -0.015234008431434631, 0.010151305235922337, -0.01646476797759533, -0.008966837078332901, 0.06739148497581482, 0.024887943640351295, -0.03267984837293625, 0.01021741982549429, 0.0...
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
--- license: mit tags: - generated_from_trainer datasets: - imagefolder model-index: - name: donut-base-eaten 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...
[ -0.040391501039266586, -0.015395782887935638, -0.0036019240505993366, 0.05428104102611542, 0.023646613582968712, 0.014799198135733604, 0.023477282375097275, -0.010759045369923115, -0.023819496855139732, 0.02230054885149002, 0.04401341825723648, -0.01791461929678917, 0.021189548075199127, 0...
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
--- tags: - image-to-text - image-captioning license: apache-2.0 language: - zh widget: - src: https://datasets-server.huggingface.co/assets/Maciel/e-commerce-sample-images/--/Maciel--e-commerce-sample-images/train/2/image/image.jpg example_title: 小耳钉 - src: https://datasets-server.huggingface.co/assets/Maciel/e-co...
[ -0.005314310546964407, -0.02759275957942009, 0.005291999317705631, 0.05684312433004379, 0.06326547265052795, 0.002430984051898122, -0.01859518326818943, -0.008520485833287239, -0.01651826687157154, 0.05494694039225578, 0.024303289130330086, 0.0033905322197824717, 0.010350481607019901, 0.05...
AnonymousSub/SR_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...
4
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice_11_0 metrics: - wer model-index: - name: christoph-large-v2 results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice_11_0 type: common_voice_11_0 ...
[ -0.02938344143331051, 0.009779820218682289, -0.01596675254404545, 0.03984177112579346, 0.04873904585838318, 0.01552643720060587, -0.014987871050834656, -0.01771126314997673, -0.010715753771364689, 0.058006640523672104, 0.04016594588756561, -0.02054602839052677, 0.001920142793096602, 0.0431...
AnonymousSub/bert_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- license: mit tags: - generated_from_keras_callback model-index: - name: dummy-model 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. --> # dummy-model This model is a ...
[ -0.05862456187605858, -0.006512057036161423, 0.0000906523855519481, 0.03319106996059418, 0.027547616511583328, 0.023166058585047722, -0.009560031816363335, 0.005727544892579317, -0.03388194739818573, 0.04522799700498581, 0.016665946692228317, -0.024261504411697388, 0.01429042499512434, 0.0...
AnonymousSub/consert-s10-AR
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- language: fo datasets: - carlosdanielhernandezmena/ravnursson_asr tags: - audio - automatic-speech-recognition - faroese - whisper-large-v2 - ravnur-project - faroe-islands license: cc-by-4.0 widget: null model-index: - name: whisper-largev2-faroese-8k-steps-100h results: - task: ...
[ -0.02187809720635414, -0.025111792609095573, 0.007660308852791786, 0.04523065313696861, 0.06771791726350784, 0.013886958360671997, 0.006838085595518351, -0.019016433507204056, -0.026434900239109993, 0.0736728087067604, 0.04091443121433258, -0.008872567676007748, 0.0013544305693358183, 0.03...
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
null
--- tags: - autotrain - summarization language: - en widget: - text: "I love AutoTrain 🤗" datasets: - stevied67/autotrain-data-pegasus-reddit-summarizer co2_eq_emissions: emissions: 85.71551225539321 --- # Model Trained Using AutoTrain This model was trained using chatgpt generated summaries of subreddit submissio...
[ -0.009065080434083939, -0.013532119803130627, 0.005093866493552923, 0.02455049380660057, 0.04011578857898712, 0.00692423339933157, -0.029516195878386497, -0.011827470734715462, -0.03372121974825859, 0.07205761969089508, 0.02218800224363804, 0.02410285361111164, 0.01787612773478031, 0.03158...
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
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: YSKartal/distilbert-base-cased-finetuned-ref_disam results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this...
[ -0.0275067500770092, -0.0033700866624712944, -0.012276352383196354, 0.0193715188652277, 0.04291272535920143, 0.026724865660071373, -0.0019590798765420914, -0.022813690826296806, -0.049504801630973816, 0.06236021965742111, 0.03634278103709221, -0.04288583993911743, 0.023837860673666, 0.0196...
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
2023-03-20T12:54:14Z
--- language: - zh - en tags: - glm - chatglm - thudm --- # ChatGLM-6B-INT4-QE-Slim: 低显存版ChatGLM-6B-INT4-QE ## 介绍 ChatGLM-6B-INT4-QE-Slim是在[ChatGLM-6B-INT4-QE](https://huggingface.co/THUDM/chatglm-6b-int4-qe)的基础上通过裁剪词表构建的。因为ChatGLM-6B使用了icetk,在其词表中,前20000个token是预留给图片的,在文本模型中没有用到这些图片token,但是在infer和微调的时候,这些token对应的embed...
[ -0.026052655652165413, -0.01323792990297079, -0.00038824439980089664, 0.028683658689260483, 0.045401595532894135, 0.015348648652434349, -0.02430565282702446, -0.00556489173322916, -0.03597771003842354, 0.04481919854879379, 0.022832153365015984, -0.02634585276246071, 0.01658264920115471, 0....
AnonymousSub/dummy_2_parent
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
null
--- license: apache-2.0 tags: - summarization - generated_from_trainer model-index: - name: t5-small-finetuned-tfg 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. -->...
[ -0.013534738682210445, -0.013246545568108559, 0.01023367140442133, 0.017067667096853256, 0.03663631156086922, 0.008777602575719357, -0.02733776345849037, -0.005642159376293421, -0.03160204365849495, 0.051421962678432465, 0.02989278733730316, -0.01217057928442955, 0.011126114055514336, 0.04...
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
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 ...
[ -0.04038830101490021, -0.01677592843770981, -0.01585506647825241, 0.03696013614535332, 0.048921942710876465, -0.0046739401295781136, -0.012863416224718094, -0.02389037050306797, -0.031233662739396095, 0.054718609899282455, 0.022750485688447952, -0.03252830728888512, 0.018809327855706215, 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
null
--- license: creativeml-openrail-m --- https://civitai.com/models/21305/tenten-character-lohafullckpt
[ -0.008540859445929527, -0.010092615149915218, -0.013275420293211937, 0.026324518024921417, 0.044347673654556274, -0.00014352361904457211, -0.005597907584160566, -0.0013995463959872723, -0.03135412186384201, 0.04086880758404732, 0.0013947299448773265, -0.01595698669552803, 0.04924494400620460...
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
--- license: creativeml-openrail-m --- https://civitai.com/models/15553/shokuhou-misaki-or-toaru-majutsu-no-index
[ -0.010821289382874966, -0.01960171014070511, 0.002234153915196657, -0.001929373131133616, 0.033810533583164215, -0.0034803838934749365, -0.0025959424674510956, 0.009249645285308361, -0.03783152624964714, 0.06376214325428009, 0.05346640199422836, 0.022361766546964645, 0.03648325800895691, 0...
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
null
--- license: creativeml-openrail-m --- https://civitai.com/models/18612/teaanzu-dsod-ver-or-yu-gi-oh
[ -0.04041909798979759, -0.03239738568663597, 0.0006654079770669341, 0.020618455484509468, 0.036182209849357605, 0.01299495529383421, 0.01720183715224266, -0.0007863984792493284, -0.0084602702409029, 0.023415470495820045, 0.05399777367711067, 0.0061830785125494, 0.03979811072349548, 0.026288...
AnonymousSub/rule_based_hier_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...
2
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.03922796994447708, -0.000497104658279568, -0.005882270634174347, 0.04507678374648094, 0.024514753371477127, 0.02114447019994259, -0.025520332157611847, -0.03135189414024353, -0.003496486460790038, 0.04932689294219017, 0.02166132815182209, -0.014814409427344799, 0.020183037966489792, 0.0...
AnonymousSub/rule_based_hier_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
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04103308171033859, -0.0008448465378023684, 0.012318051420152187, 0.036798570305109024, 0.02417632006108761, -0.011509571224451065, -0.0148979676887393, -0.026050152257084846, -0.03882154822349548, 0.05334840342402458, 0.037482962012290955, -0.002930067479610443, 0.022136839106678963, 0....
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
null
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-wikiann 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. ...
[ -0.03979041427373886, -0.012253382243216038, 0.0014438116922974586, 0.018811404705047607, 0.018718821927905083, 0.028459783643484116, -0.022275710478425026, -0.008935895748436451, -0.03844684362411499, 0.0518902949988842, 0.03838330879807472, -0.03675227612257004, 0.01624874398112297, 0.03...
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
null
# alpaca-lora-7b This LoRA trained for 3 epochs. Exported to hf format using https://github.com/tloen/alpaca-lora(float32, no 8bit) Exported to ONNX using optimum library(https://github.com/huggingface/optimum/pull/922) without any optimizations -- license: other --- # LLaMA Model Card ## Model details **Organizat...
[ -0.02085190638899803, -0.006943836342543364, -0.010305294767022133, 0.039223238825798035, 0.04595024883747101, 0.027253462001681328, -0.0040421257726848125, -0.009775777347385883, -0.013441056944429874, 0.050704438239336014, 0.051070861518383026, -0.030718117952346802, 0.0004733596870210022,...
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
2023-03-25T13:45:05Z
--- 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...
[ -0.01692167855799198, -0.01767047680914402, -0.006840707268565893, 0.0300357174128294, 0.05173671618103981, -0.017412478104233742, -0.012101242318749428, -0.008728592656552792, -0.059359535574913025, 0.054523300379514694, -0.002988936146721244, -0.009797614999115467, 0.025066467002034187, ...
AnonymousSub/rule_based_roberta_bert_quadruplet_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, "...
23
2023-03-25T13:47:13Z
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Scott-Malin-Art-Style Dreambooth model trained by Anonim3327 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Basic model:Anything D...
[ -0.03769616410136223, -0.017059918493032455, -0.02684371918439865, 0.04647795483469963, 0.037459682673215866, 0.017216818407177925, 0.001060768379829824, 0.002858138410374522, -0.007383580785244703, 0.04692552983760834, 0.03969719260931015, -0.003424715716391802, -0.018567094579339027, 0.0...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.017696935683488846, -0.015175490640103817, -0.008893310092389584, 0.025405939668416977, 0.04870540648698807, 0.0009001721628010273, -0.021012866869568825, 0.007253674324601889, -0.03753874823451042, 0.05508514493703842, 0.01839875802397728, -0.008162076584994793, 0.012900535948574543, 0...
AnonymousSub/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...
2
2023-03-25T13:51:17Z
--- tags: - generated_from_trainer model-index: - name: poetry_gpt2 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. --> # poetry_gpt2 This model is a fine-tuned ver...
[ -0.0192972794175148, -0.026033475995063782, -0.0014616900589317083, 0.045598212629556656, 0.03980453684926033, -0.008007149212062359, -0.0065162284299731255, -0.013969029299914837, -0.033906202763319016, 0.05895422399044037, 0.007672248873859644, -0.019827071577310562, 0.004178945440798998, ...
AnonymousSub/rule_based_roberta_bert_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...
3
2023-03-25T13:51:27Z
--- 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...
[ -0.01836528815329075, -0.015217934735119343, -0.007940125651657581, 0.025332476943731308, 0.04866133630275726, -0.0004077640187460929, -0.020816264674067497, 0.006623790133744478, -0.03747653588652611, 0.05294099822640419, 0.016437465324997902, -0.008193448185920715, 0.012410863302648067, ...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
28
null
https://wandb.ai/open-assistant/supervised-finetuning/runs/x2pczqa9
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AnonymousSub/rule_based_roberta_bert_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: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) Describe your model here ## Usage ```python from diffusers import DDPMPipeline p...
[ -0.0032972139306366444, -0.018366821110248566, 0.014159996062517166, 0.022826235741376877, 0.031540822237730026, 0.011153388768434525, 0.002834268379956484, -0.0005582915619015694, -0.014095938764512539, 0.0533534474670887, 0.010868106037378311, 0.002592526376247406, 0.027246015146374702, ...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- license: mit tags: - generated_from_trainer metrics: - accuracy model-index: - name: clickbait_classification_xlm_roberta 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...
[ -0.03824661299586296, 0.005594539921730757, 0.0011827958514913917, 0.046642813831567764, 0.045651309192180634, 0.026653897017240524, -0.017073174938559532, -0.02099033258855343, -0.03139471635222435, 0.0520053505897522, 0.04552752897143364, -0.024731572717428207, 0.01112310029566288, 0.038...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_16 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofrea...
[ -0.02666996419429779, -0.007589266169816256, 0.0008705290383659303, 0.035163041204214096, 0.018085574731230736, 0.018100712448358536, -0.01809157058596611, 0.013201356865465641, -0.03149161487817764, 0.07950464636087418, 0.019462905824184418, -0.04039083048701286, 0.03745996579527855, 0.01...