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17 values
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59.7M
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DoyyingFace/bert-asian-hate-tweets-asonam-unclean
[ "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
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.031423892825841904, -0.0010182323167100549, -0.019089525565505028, 0.049297112971544266, 0.040714479982852936, 0.025927027687430382, -0.0010813495609909296, -0.03522411733865738, -0.029372699558734894, 0.04906198009848595, 0.024651167914271355, -0.0054563800804317, 0.021756986156105995, ...
albert-base-v1
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
38,156
2023-03-10T21:50:51Z
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: bucket-not-bucket results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.9777777791023254 --- # bucket-not-bucke...
[ -0.023922249674797058, 0.007007465697824955, 0.019564729183912277, 0.030399594455957413, 0.03185810521245003, -0.02017555572092533, -0.023430999368429184, -0.009846101514995098, -0.008104929700493813, 0.036773063242435455, 0.010552405379712582, 0.011904105544090271, 0.009126645512878895, 0...
albert-large-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
687
2023-03-10T21:55:35Z
--- 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...
[ -0.04330658167600632, -0.0024014636874198914, 0.010182780213654041, 0.03768003359436989, 0.025755323469638824, -0.011495671235024929, -0.010473736561834812, -0.026480210945010185, -0.03857485204935074, 0.05482153594493866, 0.037396930158138275, 0.001897735521197319, 0.019630342721939087, 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
2023-03-10T22:01:12Z
--- license: cc-by-sa-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: my_legal_bert_small results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. ...
[ -0.013548877090215683, 0.004397705662995577, -0.03196054697036743, 0.048701174557209015, 0.036433517932891846, 0.01488340925425291, -0.012169793248176575, -0.014364737085998058, -0.041480038315057755, 0.06916719675064087, 0.020385373383760452, -0.017692115157842636, 0.03086496889591217, 0....
albert-xlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
341
2023-03-10T22:01:30Z
--- 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...
[ -0.005609906744211912, 0.005720244254916906, -0.016703767701983452, 0.016134046018123627, 0.05893741548061371, -0.02926339954137802, 0.0060671125538647175, -0.03439593315124512, -0.027046630159020424, 0.06518875062465668, 0.025998147204518318, -0.029886072501540184, -0.0020963018760085106, ...
bert-base-cased-finetuned-mrpc
[ "pytorch", "tf", "jax", "bert", "fill-mask", "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...
11,644
2023-03-10T22:09:14Z
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image widget: - text: "A high tech solarpunk utopia in the Amazon rainforest" example_title: Amazon rainforest - text: "A pikachu fine dining with a view to the Eiffel Tower" example_title: Pikachu in Paris - text: "A...
[ -0.012397154234349728, -0.009168487042188644, -0.03621785715222359, 0.022859130054712296, 0.04679390788078308, 0.017975175753235817, 0.019480165094137192, 0.0024160719476640224, -0.019480833783745766, 0.06511921435594559, 0.030194474384188652, -0.011658771894872189, 0.001587008940987289, 0...
bert-base-german-dbmdz-cased
[ "pytorch", "jax", "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...
1,814
2023-03-10T22:16:01Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: keyword_category_classifier_v4 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 ...
[ -0.022399144247174263, 0.010135641321539879, -0.01400250568985939, 0.04766026511788368, 0.04118708521127701, 0.032931625843048096, 0.011184380389750004, -0.01439820695668459, -0.03125598654150963, 0.06368239969015121, 0.033072151243686676, -0.004320469219237566, 0.008714500814676285, 0.036...
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
2023-03-10T22:19:37Z
--- license: apache-2.0 datasets: - hackathon-pln-es/neutral-es language: - es metrics: - bleu tags: - Text Neutralization - Inclusive Language ---
[ -0.010565502569079399, -0.015318450517952442, 0.00619931798428297, -0.0008509721956215799, 0.037000205367803574, 0.010969225317239761, -0.002907894318923354, 0.01954125054180622, -0.03894038870930672, 0.03323188051581383, 0.006851022131741047, 0.01016658078879118, 0.03709564730525017, 0.03...
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
2023-03-10T22:22:17Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.018609782680869102, -0.01712506078183651, -0.006625522393733263, 0.029899125918745995, 0.05136256664991379, -0.017993781715631485, -0.011696061119437218, -0.009262427687644958, -0.05879007279872894, 0.05386804789304733, -0.003044639015570283, -0.009259633719921112, 0.025178326293826103, ...
bert-base-multilingual-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
328,585
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-copterv1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 me...
[ -0.04163828864693642, 0.015051313675940037, 0.013860486447811127, 0.01756649650633335, 0.049183208495378494, -0.015341867692768574, -0.020026076585054398, -0.02474488504230976, -0.017907364293932915, 0.06726056337356567, 0.037776146084070206, -0.008489130064845085, 0.01245876494795084, -0....
bert-large-cased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8,214
2023-03-10T22:35:21Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: UchihaMadara/thesis-pretrained 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. --> # Uch...
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bert-large-cased-whole-word-masking
[ "pytorch", "tf", "jax", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2,316
2023-03-10T22:35:59Z
--- license: creativeml-openrail-m --- This is a clone copy of Stable Diffusion Models from Civitai for Colab training purposes.
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distilbert-base-multilingual-cased
[ "pytorch", "tf", "onnx", "safetensors", "distilbert", "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", ...
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...
8,339,633
2023-03-10T22:54:42Z
--- license: apache-2.0 tags: - translation - generated_from_trainer datasets: - kde4 metrics: - bleu model-index: - name: marian-finetuned-kde4-en-to-fr results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: kde4 type: kde4 config: ...
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13306330378/huiqi_model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-11T02:43:04Z
--- 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/yichengwang125/pokemon-lora These are LoRA adaption weights for runwayml...
[ -0.03292934224009514, -0.01400310080498457, -0.021468857303261757, 0.025487011298537254, 0.044038839638233185, -0.019554385915398598, 0.010833126492798328, -0.01624257117509842, -0.011292663402855396, 0.06820707768201828, 0.026259060949087143, -0.0343327596783638, 0.011325349099934101, 0.0...
AK/ak_nlp
[ "pytorch", "jax", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
6
2023-03-11T06:37:19Z
--- tags: - autotrain - vision - image-classification datasets: - ppicazo/autotrain-data-astrophotography-object-classifier-alpha4 widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/te...
[ -0.007329156156629324, -0.019108479842543602, 0.010105635970830917, 0.037412818521261215, 0.057167645543813705, -0.004190026316791773, -0.01499723270535469, -0.004829191602766514, -0.040368225425481796, 0.06491857022047043, 0.0018135334830731153, 0.00615237420424819, 0.011145812459290028, ...
AT/distilbert-base-cased-finetuned-wikitext2
[]
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
Access to model dpogreb/autotrain-nyx-40340104916 is restricted and you are not in the authorized list. Visit https://huggingface.co/dpogreb/autotrain-nyx-40340104916 to ask for access.
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AT/distilgpt2-finetuned-wikitext2
[]
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
2023-03-11T08:20:19Z
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 0 dimensional dense vector space and can be used for tasks like clustering or semantic ...
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AdapterHub/bert-base-uncased-pf-comqa
[ "bert", "en", "dataset:com_qa", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "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...
0
null
--- license: apache-2.0 tags: - trl - transformers - reinforcement-learning --- # TRL Model This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback. The model can be used for text ...
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AdapterHub/bert-base-uncased-pf-conll2000
[ "bert", "en", "dataset:conll2000", "arxiv:2104.08247", "adapter-transformers", "token-classification", "adapterhub:chunk/conll2000" ]
token-classification
{ "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...
4
null
--- tags: - conversational --- #Safalin DialoGPT Model
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AdapterHub/bert-base-uncased-pf-conll2003_pos
[ "bert", "en", "dataset:conll2003", "arxiv:2104.08247", "adapter-transformers", "token-classification", "adapterhub:pos/conll2003" ]
token-classification
{ "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...
6
null
--- datasets: - artemkramov/coreference-dataset-ua language: - uk tags: - coreference-resolution - anaphora widget: - text: "Jens Peter Hansen kommer fra Danmark" example_title: "Coreference resolution" model-index: - name: test results: - task: type: coreference-resolution # Required. Example: ...
[ -0.028922436758875847, -0.019898276776075363, -0.004311433993279934, 0.045611798763275146, 0.02705632708966732, 0.02750278450548649, -0.013257844373583794, -0.031528010964393616, -0.06172453612089157, 0.05597696825861931, 0.05096826329827309, -0.027771368622779846, -0.016976315528154373, 0...
AdapterHub/bert-base-uncased-pf-copa
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "adapterhub:comsense/copa" ]
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...
4
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021210474893450737, -0.0051510450430214405, 0.011537046171724796, 0.03941664844751358, 0.03197280690073967, 0.015712780877947807, -0.028603656217455864, -0.01621413789689541, -0.015594675205647945, 0.06205034255981445, 0.006670497357845306, -0.0005695921718142927, 0.010840971022844315, ...
AdapterHub/bert-base-uncased-pf-drop
[ "bert", "en", "dataset:drop", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "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...
4
null
--- license: apache-2.0 datasets: - fka/awesome-chatgpt-prompts language: - en --- This is a public repo, for testing purpose only.
[ -0.02038593217730522, -0.0334194041788578, 0.01736891083419323, 0.017537912353873253, 0.05040695518255234, 0.00602264329791069, 0.011947437189519405, 0.010069633834064007, -0.025406554341316223, 0.034805987030267715, 0.019114863127470016, 0.010240050964057446, 0.03879397362470627, 0.023828...
AdapterHub/bert-base-uncased-pf-duorc_s
[ "bert", "en", "dataset:duorc", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "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...
0
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: MlpPolicy results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-...
[ -0.03973604738712311, -0.0009532315307296813, -0.0021181146148592234, 0.026947064325213432, 0.032947130501270294, -0.019546683877706528, -0.011145810596644878, -0.026536673307418823, -0.028224414214491844, 0.06367327272891998, 0.032740429043769836, -0.029046081006526947, 0.02005903236567974,...
AdapterHub/bert-base-uncased-pf-emo
[ "bert", "en", "dataset:emo", "arxiv:2104.08247", "adapter-transformers", "text-classification" ]
text-classification
{ "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...
5
null
--- license: apache-2.0 tags: - generated_from_trainer - gov report - long document metrics: - rouge model-index: - name: long-t5-base-govreport results: [] datasets: - pszemraj/govreport-summarization-8192 language: - en library_name: transformers pipeline_tag: summarization --- <!-- This model card has been genera...
[ -0.007582066580653191, -0.018615223467350006, -0.02198576182126999, 0.038832973688840866, 0.051528241485357285, 0.0012165516382083297, -0.030870288610458374, -0.014383545145392418, -0.04537198320031166, 0.054077763110399246, 0.021046942099928856, -0.030467042699456215, -0.0016433940036222339...
AdapterHub/bert-base-uncased-pf-emotion
[ "bert", "en", "dataset:emotion", "arxiv:2104.08247", "adapter-transformers", "text-classification" ]
text-classification
{ "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...
165
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 ...
[ -0.039195939898490906, -0.01697615161538124, -0.013786589726805687, 0.03729025647044182, 0.04908718913793564, -0.0064611174166202545, -0.013324516825377941, -0.026315050199627876, -0.031557634472846985, 0.05433875694870949, 0.02253064140677452, -0.032816000282764435, 0.01850283518433571, 0...
AdapterHub/bert-base-uncased-pf-hellaswag
[ "bert", "en", "dataset:hellaswag", "arxiv:2104.08247", "adapter-transformers", "adapterhub:comsense/hellaswag" ]
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...
0
null
Access to model Abdullah007/image-classification-ResNet50 is restricted and you are not in the authorized list. Visit https://huggingface.co/Abdullah007/image-classification-ResNet50 to ask for access.
[ -0.02190038189291954, 0.016034573316574097, -0.013163642957806587, 0.012915234081447124, 0.040820229798555374, -0.0006688630674034357, -0.026994142681360245, -0.0038212453946471214, -0.04140760004520416, 0.039750684052705765, 0.02428119070827961, -0.006081453524529934, 0.006441823672503233, ...
AdapterHub/bert-base-uncased-pf-imdb
[ "bert", "en", "dataset:imdb", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:sentiment/imdb" ]
text-classification
{ "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...
15
null
--- tags: - generated_from_keras_callback model-index: - name: Rishu115/mlm-bert-train_finalTraining 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. --> # Rishu115/mlm-ber...
[ -0.01682198978960514, -0.015297620557248592, -0.02011774107813835, 0.015605595894157887, 0.04647687077522278, 0.02124895714223385, -0.02949116937816143, -0.018613938242197037, -0.03376292437314987, 0.06004270538687706, 0.011215806938707829, -0.02826487459242344, 0.013524163514375687, 0.038...
AdapterHub/bert-base-uncased-pf-mrpc
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:sts/mrpc" ]
text-classification
{ "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...
52
null
--- license: mit language: - en pipeline_tag: text-generation tags: - gpt - gpt2 - gpt3 - ai dungeon - ai - dungeon - medium - en - english - text - generation - text generation --- Large model from https://github.com/KoolenDasheppi/Clover-Edition Working good only with English language.
[ -0.00890287384390831, 0.0037645509000867605, 0.016133198514580727, 0.03536070138216019, 0.07343673706054688, -0.00012713656178675592, -0.00045754213351756334, -0.006328789982944727, -0.03346525877714157, 0.07622440159320831, 0.020713450387120247, -0.014007192105054855, 0.004324676003307104, ...
AdapterHub/bert-base-uncased-pf-multirc
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:rc/multirc" ]
text-classification
{ "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...
4
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...
[ -0.03754732012748718, -0.0030750820878893137, 0.01401808112859726, 0.04070115461945534, 0.02590278908610344, -0.010114147327840328, -0.010643057525157928, -0.027382222935557365, -0.04178931564092636, 0.05847197026014328, 0.03825800120830536, 0.0011950009502470493, 0.016935674473643303, 0.0...
AdapterHub/bert-base-uncased-pf-newsqa
[ "bert", "en", "dataset:newsqa", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "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...
3
2023-03-11T11:46:56Z
--- language: - bn license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 - google/fleurs - openslr metrics: - wer model-index: - name: Whisper Small - Mohammed Rakib results: - task: type: automatic-speech-recognition name: Automatic Speech R...
[ -0.019519899040460587, 0.004622409585863352, -0.010430587455630302, 0.03944491967558861, 0.040479402989149094, 0.018520301207900047, -0.005469754338264465, -0.005478947889059782, -0.024435216560959816, 0.07431168854236603, 0.025717642158269882, -0.032140929251909256, 0.012240355834364891, ...
AdapterHub/bert-base-uncased-pf-pmb_sem_tagging
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "token-classification", "adapterhub:semtag/pmb" ]
token-classification
{ "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...
4
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...
[ -0.04287191852927208, -0.0011595746036618948, 0.010869592428207397, 0.037582334131002426, 0.02540791593492031, -0.012605798430740833, -0.011327412910759449, -0.02666301093995571, -0.03846033290028572, 0.05529760196805, 0.03655800223350525, 0.0014483279082924128, 0.01837708242237568, 0.0268...
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
--- license: mit datasets: - ThePioneer/Ver0_voice_dataset language: - en - ja - zh tags: - music - voice --- アニメ声のようなわざとらしい声でもなく、ボカロなどのソフトを使ったいかにも合成の音声でもなく、クラスに一人くらいいそうな、自然で親しみやすい美少女の声を…。 本モデルは、そういうコンセプトで開発された[So-vits-svc 4.0](https://github.com/svc-develop-team/so-vits-svc)のモデルです。 一次音声は私自身の肉声から合成し、その素材をElevenLabsで...
[ -0.05011889338493347, -0.027764590457081795, -0.0029216830153018236, 0.025172702968120575, 0.0220741368830204, 0.007982779294252396, 0.0037039187736809254, 0.0004256298125255853, -0.03695380315184593, 0.06396093964576721, 0.0144749004393816, -0.016033999621868134, 0.05107654258608818, 0.03...
AdapterHub/bert-base-uncased-pf-quartz
[ "bert", "en", "dataset:quartz", "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
2023-03-11T11:53:33Z
--- 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...
[ -0.03790176659822464, -0.003720206208527088, 0.013943060301244259, 0.04024782031774521, 0.024735165759921074, -0.009770996868610382, -0.009646852500736713, -0.025733962655067444, -0.041342996060848236, 0.05646675452589989, 0.03785628080368042, 0.002724315971136093, 0.017784997820854187, 0....
AdapterHub/bert-base-uncased-pf-quoref
[ "bert", "en", "dataset:quoref", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "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...
6
2023-03-11T12:01:36Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04152645543217659, -0.001377395703457296, -0.007777899503707886, 0.04898306354880333, 0.02921222895383835, 0.021863918751478195, -0.02461140602827072, -0.03684164211153984, -0.0061096316203475, 0.049352601170539856, 0.01894010603427887, -0.00791794341057539, 0.022036699578166008, 0.0314...
AdapterHub/bert-base-uncased-pf-scicite
[ "bert", "en", "dataset:scicite", "arxiv:2104.08247", "adapter-transformers", "text-classification" ]
text-classification
{ "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...
0
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-4 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_rewa...
[ -0.031541768461465836, 0.019854053854942322, 0.004331196192651987, 0.008458332158625126, 0.044042445719242096, -0.016375405713915825, -0.02441035956144333, -0.014152122661471367, -0.029438186436891556, 0.08511515706777573, 0.018608205020427704, -0.006837585009634495, 0.01680331863462925, 0...
AdapterHub/bert-base-uncased-pf-snli
[ "bert", "en", "dataset:snli", "arxiv:2104.08247", "adapter-transformers", "text-classification" ]
text-classification
{ "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...
8
null
# An alias of [relbert/relbert-roberta-base-nce-semeval2012-0](https://huggingface.co/relbert/relbert-roberta-base-nce-semeval2012-0).
[ -0.01745826005935669, -0.013422827236354351, -0.0038065866101533175, 0.0012086338829249144, 0.03172993287444115, 0.014910465106368065, -0.03684288263320923, -0.006044160574674606, -0.04980975016951561, 0.03159613162279129, 0.018984461203217506, -0.008749549277126789, 0.03116651438176632, 0...
AdapterHub/bert-base-uncased-pf-social_i_qa
[ "bert", "en", "dataset:social_i_qa", "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...
4
null
--- language: - en tags: - openvino --- # distilbert-base-uncased-distilled-squad This is the [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) model converted to [OpenVINO](https://openvino.ai), for accellerated inference. An example of how to do inference on ...
[ -0.04099361598491669, -0.031406376510858536, -0.015249085612595081, 0.02219366282224655, 0.030759960412979126, 0.0013655305374413729, -0.03218315169215202, 0.00401298888027668, -0.026642901822924614, 0.038384802639484406, 0.024307291954755783, 0.01533002033829689, -0.0022032512351870537, 0...
AdapterHub/bert-base-uncased-pf-squad
[ "bert", "en", "dataset:squad", "arxiv:2104.08247", "adapter-transformers", "question-answering", "adapterhub:qa/squad1" ]
question-answering
{ "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...
9
null
--- language: en thumbnail: http://www.huggingtweets.com/jacksepticeye/1678537664774/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; w...
[ 0.006070098374038935, -0.03750746324658394, -0.0019507705001160502, 0.05140075087547302, 0.05268983542919159, 0.010669018141925335, -0.011990520171821117, -0.009778136387467384, -0.043391257524490356, 0.03292078152298927, 0.011873853392899036, -0.003756381571292877, -0.02008599042892456, 0...
AdapterHub/bert-base-uncased-pf-stsb
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:sts/sts-b" ]
text-classification
{ "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...
3
null
--- language: - en tags: - stable-diffusion - text-to-image - keras-dreambooth - nature license: creativeml-openrail-m inference: true library_name: keras --- ## Model description This the Stable Diffusion model fine-tuned the Low Poly World concept taught to Stable Diffusion with Dreambooth. It can be used...
[ -0.03086373209953308, -0.01883002556860447, -0.037917833775281906, 0.009944691322743893, 0.04761644825339317, 0.002107818378135562, 0.013336251489818096, -0.008883570320904255, -0.019494405016303062, 0.05879394710063934, 0.01884636841714382, -0.026376601308584213, 0.001159809296950698, 0.0...
Ahmadvakili/A
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.042845044285058975, 0.00014618986460845917, -0.006934209261089563, 0.049719735980033875, 0.029391486197710037, 0.021942732855677605, -0.02733103185892105, -0.0392928272485733, -0.006823613308370113, 0.04918237775564194, 0.017429543659090996, -0.00981156900525093, 0.02118929661810398, 0....
Akashpb13/Central_kurdish_xlsr
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ckb", "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-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
10
null
--- license: mit language: - en pipeline_tag: text-to-image ---
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Alireza1044/albert-base-v2-stsb
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
37
null
--- 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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AmazonScience/qanlu
[ "pytorch", "roberta", "question-answering", "en", "dataset:atis", "transformers", "license:cc-by-4.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
494
null
--- license: mit datasets: - mrqa language: - en metrics: - squad library_name: adapter-transformers pipeline_tag: question-answering --- # Description This is the single-dataset adapter for the NaturalQuestions partition of the MRQA 2019 Shared Task Dataset. The adapter was created by Friedman et al. (2021) and shoul...
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Amba/wav2vec2-large-xls-r-300m-turkish-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit datasets: - mrqa language: - en metrics: - squad library_name: adapter-transformers pipeline_tag: question-answering --- # Description This is the single-dataset adapter for the NewsQA partition of the MRQA 2019 Shared Task Dataset. The adapter was created by Friedman et al. (2021) and should be used ...
[ -0.011911807581782341, -0.025162747129797935, -0.031053870916366577, 0.06855154037475586, 0.02511299028992653, 0.02002432756125927, -0.01320334430783987, -0.004495789296925068, -0.05146375671029091, 0.039937183260917664, 0.022523995488882065, 0.013161222450435162, 0.0161249041557312, 0.036...
aisoftware/Loquela
[ "onnx" ]
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 datasets: - mrqa language: - en metrics: - squad library_name: adapter-transformers pipeline_tag: question-answering --- # Description This is the single-dataset adapter for the TriviaQA partition of the MRQA 2019 Shared Task Dataset. The adapter was created by Friedman et al. (2021) and should be use...
[ -0.006746805738657713, -0.025148576125502586, -0.0262459684163332, 0.062300801277160645, 0.015594050288200378, 0.01847352460026741, -0.02052033506333828, 0.0009072505636140704, -0.05189414322376251, 0.04331103712320328, 0.019717009738087654, 0.01962917670607567, 0.010576090775430202, 0.037...
AmitT/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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...
[ -0.01993805356323719, -0.019091516733169556, -0.005975193809717894, 0.029090330004692078, 0.04921341687440872, -0.017806436866521835, -0.009600549936294556, -0.0083083501085639, -0.05840497091412544, 0.051362209022045135, -0.0032441734801977873, -0.0062616486102342606, 0.025483746081590652, ...
Amro-Kamal/gpt
[]
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
2023-03-11T21:25:53Z
--- 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...
[ -0.006370777729898691, 0.005789370741695166, -0.015969788655638695, 0.016750682145357132, 0.05750693380832672, -0.026494089514017105, 0.007447103038430214, -0.032649215310811996, -0.027101527899503708, 0.06582500785589218, 0.027586035430431366, -0.030326873064041138, -0.001615522662177682, ...
AndrewMcDowell/wav2vec2-xls-r-1B-german
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "hf-asr-leaderboard", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
8
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: 7.52 +/- 2.77 ...
[ -0.020343607291579247, -0.01500377245247364, -0.007822923362255096, 0.025597035884857178, 0.04660750925540924, -0.0007316002156585455, -0.019933737814426422, 0.006439846474677324, -0.0368022620677948, 0.05393429845571518, 0.017488881945610046, -0.006628738716244698, 0.01284192968159914, 0....
AndrewMcDowell/wav2vec2-xls-r-1b-arabic
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:common_voice", "transformers", "mozilla-foundation/common_voice_8_0", "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...
7
null
--- language: en thumbnail: http://www.huggingtweets.com/thenataliemars/1678571937087/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; ...
[ -0.0050908224657177925, -0.042558666318655014, -0.004138350952416658, 0.050111740827560425, 0.05079934373497963, 0.01331380382180214, -0.011870956048369408, -0.008460338227450848, -0.045142918825149536, 0.03299185633659363, 0.013439767062664032, -0.00379896885715425, -0.0049075772985816, 0...
AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:common_voice", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "hf-asr-leaderboard", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
6
null
--- license: mit datasets: - mrqa language: - en metrics: - squad library_name: adapter-transformers pipeline_tag: question-answering --- # Description This is the MADE encoder model created by Friedman et al. (2021). This encoder should be used along with the following dataset-specific adapters. - https://huggingfac...
[ -0.014818566851317883, -0.004366507288068533, -0.0023856826592236757, 0.05388661473989487, 0.02641066163778305, 0.011641237884759903, -0.01618235558271408, 0.005922881420701742, -0.020670026540756226, 0.02305498532950878, 0.017918862402439117, 0.013857454992830753, 0.016056489199399948, 0....
AndrewMcDowell/wav2vec2-xls-r-300m-japanese
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "generated_from_trainer", "hf-asr-leaderboard", "mozilla-foundation/common_voice_8_0", "robust-speech-event", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
4
null
--- language: en thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4...
[ 0.01231699250638485, -0.03267434984445572, -0.0005902520497329533, 0.040138401091098785, 0.05122387409210205, 0.011579377576708794, -0.02103150077164173, -0.011147750541567802, -0.031546700745821, 0.04117788001894951, -0.007193518802523613, -0.009823999367654324, 0.00507013127207756, 0.025...
AndrewNLP/redditDepressionPropensityClassifiers
[]
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: - superb language: - en metrics: - accuracy ---
[ -0.004804963245987892, -0.012569153681397438, 0.011983050033450127, 0.0074471114203333855, 0.054441556334495544, -0.004113567061722279, -0.02268376760184765, 0.008486554957926273, -0.06198287755250931, 0.03593049570918083, 0.027576638385653496, 0.0007692549261264503, 0.00561635522171855, 0...
Andrey1989/bert-multilingual-finetuned-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en thumbnail: http://www.huggingtweets.com/nyxxx696/1678572863247/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width:...
[ 0.003269883105531335, -0.03487285226583481, 0.0005008655716665089, 0.04863837733864784, 0.04663591831922531, 0.014494165778160095, -0.010672475211322308, -0.01050009485334158, -0.04450901597738266, 0.032116618007421494, 0.010544923134148121, -0.0030463291332125664, -0.012123191729187965, 0...
Andrey1989/mbart-finetuned-en-to-kk
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en thumbnail: http://www.huggingtweets.com/elsasingular/1678573156636/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; wi...
[ 0.004723880905658007, -0.04059166833758354, 0.005730218719691038, 0.05627716705203056, 0.04835335165262222, 0.013167948462069035, -0.01437385007739067, -0.010722663253545761, -0.04967891424894333, 0.03190635144710541, 0.010689460672438145, -0.0038895735051482916, -0.011581813916563988, 0.0...
Andrey1989/mt5-small-finetuned-mlsum-es
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 language: - en tags: - text2text-generation - punctuation - true-casing - sentence-boundary-detection - nlp widget: - text: "hey man how's it going i haven't seen you in a while let's meet at 6 pm for drinks" - text: "hello user this is an example input this text should be split into several...
[ -0.004816985689103603, -0.0195615254342556, -0.005137271247804165, 0.06106927990913391, 0.04264407604932785, 0.03209081292152405, -0.0001078772111213766, 0.008808953687548637, -0.036288149654865265, 0.04426972195506096, 0.03221879154443741, -0.006906423252075911, 0.016418859362602234, 0.03...
Andrey1989/mt5-small-finetuned-mlsum-fr
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017491430044174194, -0.01755617745220661, -0.0058305589482188225, 0.030281659215688705, 0.05122458562254906, -0.01720399037003517, -0.010869002901017666, -0.009211630560457706, -0.059433624148368835, 0.05385318771004677, -0.0022588190622627735, -0.007977074012160301, 0.025557268410921097,...
Andrey78/my_model_nlp
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.40 +/- 2.73...
[ -0.01885048672556877, -0.015695849433541298, -0.006718944292515516, 0.025782912969589233, 0.04813924804329872, -0.0011865639826282859, -0.018714701756834984, 0.006150222383439541, -0.03740430995821953, 0.05214984714984894, 0.01704275980591774, -0.006040067411959171, 0.01211299654096365, 0....
Andrianos/bert-base-greek-punctuation-prediction-finetuned
[ "pytorch", "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...
0
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...
[ -0.04329147934913635, -0.0024768621660768986, 0.011319697834551334, 0.03753262013196945, 0.025019098073244095, -0.012150322087109089, -0.009631752967834473, -0.02686920389533043, -0.03935826197266579, 0.055844735354185104, 0.03716690465807915, 0.0011824548710137606, 0.018092015758156776, 0...
Andrija/M-bert-NER
[ "pytorch", "bert", "token-classification", "hr", "sr", "multilingual", "dataset:hr500k", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
8
null
--- language: en thumbnail: http://www.huggingtweets.com/elsasingular-michellexotter-nyxxx696/1678573843308/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4p...
[ 0.010286953300237656, -0.04423271492123604, 0.008237086236476898, 0.04337650537490845, 0.03516782075166702, 0.015135867521166801, -0.015512006357312202, -0.0015385423321276903, -0.04286620020866394, 0.043868664652109146, 0.007401378359645605, -0.013147297315299511, -0.005843497812747955, 0...
Andrija/SRoBERTa-F
[ "pytorch", "tensorboard", "roberta", "fill-mask", "hr", "sr", "multilingual", "dataset:oscar", "dataset:srwac", "dataset:leipzig", "dataset:cc100", "dataset:hrwac", "transformers", "masked-lm", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
59
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...
[ -0.03960660845041275, 0.016400720924139023, 0.014893016777932644, 0.017248164862394333, 0.04859398677945137, -0.013897042721509933, -0.01963750272989273, -0.023946179077029228, -0.01802140288054943, 0.06788097321987152, 0.03545766323804855, -0.007819942198693752, 0.010746423155069351, -0.0...
Andrija/SRoBERTa-base-NER
[ "pytorch", "roberta", "token-classification", "hr", "sr", "multilingual", "dataset:hr500k", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
12
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: turkic-cyrillic-classifier results: [] language: - ba - cv - sah - tt - ky - kk - tyv - krc - ru datasets: - tatiana-merz/cyrillic_turkic_langs pipeline_tag: text-classification widget: - text: "Кыра тыгын" --- <!-- ...
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Andrija/SRoBERTa-base
[ "pytorch", "roberta", "fill-mask", "hr", "sr", "multilingual", "dataset:oscar", "dataset:leipzig", "transformers", "masked-lm", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
80
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: media-bias-ukraine-dataset-all-masked 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...
[ -0.02031034231185913, -0.0025891850236803293, -0.016363611444830894, 0.037932541221380234, 0.05297762155532837, 0.008982060477137566, -0.004595061764121056, -0.0003238772042095661, -0.05626450479030609, 0.06543044745922089, 0.020981859415769577, -0.03700101748108864, 0.018910109996795654, ...
Andrija/SRoBERTa
[ "pytorch", "roberta", "fill-mask", "hr", "sr", "multilingual", "dataset:leipzig", "transformers", "masked-lm", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
88
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: wav2vec2-thai 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. --> # wav2ve...
[ -0.038396187126636505, -0.01159596350044012, 0.0006485608173534274, 0.026711193844676018, 0.03971361741423607, 0.001440869178622961, -0.018071919679641724, 0.0024808242451399565, -0.02861068584024906, 0.036598362028598785, 0.022114304825663567, -0.03155147656798363, 0.01059852633625269, 0....
Andry/111
[]
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
Access to model MarkBW/ultimaterachelkay is restricted and you are not in the authorized list. Visit https://huggingface.co/MarkBW/ultimaterachelkay to ask for access.
[ -0.04523385316133499, 0.018833516165614128, 0.0028139022178947926, 0.0009400765411555767, 0.034480225294828415, 0.024147778749465942, -0.015551437623798847, -0.0015818302053958178, -0.04618598520755768, 0.044160403311252594, 0.056694526225328445, -0.017670560628175735, -0.004236656241118908,...
Andry/1111
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: media-bias-ukraine-dataset-all-removed results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove thi...
[ -0.01709410734474659, -0.0008974606171250343, -0.021129146218299866, 0.037683889269828796, 0.04600273072719574, 0.005926340818405151, -0.00655957730486989, -0.0037097935564816, -0.058936234563589096, 0.06124065816402435, 0.028466496616601944, -0.041919272392988205, 0.016593364998698235, 0....
Ankit-11/distilbert-base-uncased-finetuned-toxic
[]
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: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.045309972018003464, -0.0012077654246240854, -0.022040553390979767, 0.03249102458357811, 0.04404427856206894, 0.017773833125829697, -0.01794847659766674, -0.031020240858197212, -0.03727468103170395, 0.06887176632881165, 0.022247018292546272, 0.0028119513299316168, 0.015120407566428185, 0...
AnonymousNLP/pretrained-model-2
[ "pytorch", "gpt2", "transformers" ]
null
{ "architectures": [ "GPT2DoubleHeadsModel" ], "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...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: media-bias-ukraine-dataset-all-minus-ukraine-removed results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, t...
[ -0.015796132385730743, 0.0009050338412635028, -0.02198968641459942, 0.03410077467560768, 0.047042712569236755, 0.006742201745510101, -0.011912329122424126, -0.0070130969397723675, -0.06172414496541023, 0.06140059605240822, 0.025190385058522224, -0.042739853262901306, 0.019625524058938026, ...
AnonymousSub/AR_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...
6
null
--- license: agpl-3.0 tags: - text-to-image - image-to-text - image-captioning - image-variation - text-variation - multi-modality - generative model --- UniDiffuser is a unified diffusion framework to fit all distributions relevant to a set of multi-modal data in one transformer. UniDiffuser is able to perform image,...
[ 0.005939246155321598, -0.027360938489437103, -0.016206227242946625, 0.03013535775244236, 0.056655533611774445, 0.018325187265872955, -0.011269863694906235, -0.025649290531873703, -0.012772741727530956, 0.04307626187801361, 0.017402052879333496, 0.004545300733298063, 0.009646347723901272, 0...
AnonymousSub/AR_rule_based_roberta_hier_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...
4
null
--- language: fo datasets: - carlosdanielhernandezmena/ravnursson_asr tags: - audio - automatic-speech-recognition - faroese - whisper-base - ravnur-project - faroe-islands license: cc-by-4.0 widget: null model-index: - name: whisper-base-faroese-8k-steps-100h results: - task: name: ...
[ -0.026900988072156906, -0.026671670377254486, 0.006174148991703987, 0.042458031326532364, 0.06004181504249573, 0.019488083198666573, 0.01321578212082386, -0.01302427425980568, -0.029748206958174706, 0.06918460875749588, 0.04226874187588692, -0.013317467644810677, 0.0037032684776932, 0.0319...
AnonymousSub/AR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-pixelcopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04127150774002075, 0.016602380201220512, 0.014938531443476677, 0.01717744581401348, 0.04890552535653114, -0.014930193312466145, -0.01903572678565979, -0.025249715894460678, -0.018105031922459602, 0.0687212198972702, 0.03797494247555733, -0.008443710394203663, 0.012952983379364014, -0.00...
AnonymousSub/AR_rule_based_roberta_twostage_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...
2
2023-03-12T02:54:59Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Cpod/t5-small-finetuned-cnn_dailymail-3-epochs 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 com...
[ -0.020220469683408737, -0.017431238666176796, 0.015951033681631088, 0.022435009479522705, 0.036197468638420105, -0.007487193681299686, -0.0320187509059906, -0.009993498213589191, -0.03297336772084236, 0.061577990651130676, 0.012453325092792511, -0.02397844009101391, 0.012129124253988266, 0...
AnonymousSub/EManuals_BERT_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
1
null
--- 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 ...
[ -0.037529587745666504, -0.002707806881517172, -0.004576337989419699, 0.025172721594572067, 0.044992029666900635, -0.0218342412263155, -0.005271635949611664, -0.027756521478295326, -0.03361337631940842, 0.06676134467124939, 0.032351382076740265, -0.02340073324739933, 0.022808674722909927, 0...
AnonymousSub/SR_rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa_copy
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: other tags: - generated_from_trainer model-index: - name: segment_test_1 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. --> # segment_test_1 This mode...
[ -0.034556739032268524, -0.017582233995199203, -0.019015487283468246, 0.029443351551890373, 0.03192141279578209, 0.01628616824746132, -0.010238458402454853, -0.006930158007889986, -0.04872700199484825, 0.061006270349025726, 0.017789436504244804, -0.014154412783682346, 0.010169328190386295, ...
AnonymousSub/declutr-emanuals-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: cc-by-4.0 tags: - generated_from_trainer datasets: - covid_qa_deepset model-index: - name: xlm-roberta-base-squad2-finetuned-squad2-covidQA-V2-all-data results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofr...
[ -0.0322483591735363, -0.012005499564111233, -0.006025508977472782, 0.01881086453795433, 0.05377127602696419, 0.025279955938458443, -0.032745588570833206, -0.00872990395873785, -0.005055189598351717, 0.02990925870835781, 0.030084144324064255, -0.016662051901221275, 0.0024057128466665745, 0....
AnonymousSub/rule_based_bert_mean_diff_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
null
--- license: apache-2.0 tags: - trl - transformers - reinforcement-learning --- # TRL Model This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback. The model can be used for text ...
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: apache-2.0 tags: - trl - transformers - reinforcement-learning --- # TRL Model This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback. The model can be used for text ...
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AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: vietnamese_feedback_model_2_1.0 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...
[ -0.0362117737531662, -0.01991177164018154, 0.002882358618080616, 0.04482894018292427, 0.03457281365990639, 0.007899446412920952, 0.001846572500653565, -0.006655854173004627, -0.04545143246650696, 0.04218602180480957, 0.022020865231752396, -0.0449560284614563, 0.002770401071757078, 0.031459...
AnonymousSub/rule_based_hier_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...
28
null
--- library_name: keras --- ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: | Hyperparameters ...
[ -0.022199930623173714, -0.035729918628931046, -0.024123357608914375, 0.005248077213764191, 0.02521815523505211, -0.0037328165490180254, -0.0170386154204607, -0.009280049242079258, -0.037361279129981995, 0.0520179457962513, 0.0010505634127184749, -0.04247799143195152, 0.027110164985060692, ...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - 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...
[ -0.039342839270830154, 0.01588958315551281, 0.013829695992171764, 0.017450327053666115, 0.04935266822576523, -0.013278855010867119, -0.019846023991703987, -0.023801255971193314, -0.01743776910007, 0.06766346842050552, 0.035725343972444534, -0.007869231514632702, 0.011345159262418747, -0.00...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
--- tags: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4 type: FrozenLake-v1-4x4 metrics: - type...
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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
2023-03-12T09:14:43Z
--- 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...
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AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
--- 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: sweep-v2 type: sweep-v2 metrics: - type: mean_reward ...
[ -0.03167405351996422, -0.008434679359197617, 0.01056593656539917, 0.04465752840042114, 0.02219470404088497, -0.0032303843181580305, -0.013696957379579544, -0.02050192654132843, -0.03906373307108879, 0.06860459595918655, 0.01637144759297371, 0.004195310641080141, -0.0032366528175771236, 0.0...
AnonymousSub/rule_based_roberta_hier_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, "...
24
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: window-close-v2 type: window-close-v2 metrics: - type...
[ -0.04198246821761131, -0.00466278987005353, 0.014274894259870052, 0.04377748444676399, 0.032377321273088455, 0.0012797475792467594, -0.007115065585821867, -0.019433531910181046, -0.0363595113158226, 0.07195927947759628, 0.03208550438284874, 0.004503599368035793, 0.006434991490095854, 0.038...
AnonymousSub/rule_based_roberta_hier_triplet_0.1_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- 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: window-open-v2 type: window-open-v2 metrics: - type: ...
[ -0.038989849388599396, -0.0017379927448928356, 0.01407125499099493, 0.04748013615608215, 0.02716233767569065, 0.004678521770983934, -0.003163163783028722, -0.02073252759873867, -0.03149307891726494, 0.07575254887342453, 0.033543575555086136, 0.0067422823049128056, 0.004309904761612415, 0.0...
AnonymousSub/rule_based_roberta_hier_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...
4
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - cppe-5 model-index: - name: Raiyan_Kasper_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. -->...
[ -0.025773869827389717, -0.004562709480524063, -0.0077010453678667545, 0.016822509467601776, 0.047763891518116, 0.02435695193707943, -0.018995916470885277, -0.002375466749072075, -0.05364714935421944, 0.05944151058793068, 0.030134228989481926, -0.028013937175273895, 0.017999466508626938, 0....
AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa_copy
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - 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...
[ -0.021430667489767075, -0.01626335084438324, -0.008242344483733177, 0.0255130585283041, 0.04707997664809227, -0.00035871058935299516, -0.015757648274302483, 0.007216674741357565, -0.037640511989593506, 0.05317483842372894, 0.01626542955636978, -0.007358784321695566, 0.011360193602740765, 0...
AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 - recall - precision model-index: - name: distilbert-base-uncased_finetuned_text_2_disease_cel results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should proba...
[ 0.006854094564914703, -0.003173988778144121, -0.018748557195067406, 0.021490726619958878, 0.04375704750418663, 0.012248012237250805, -0.01863454096019268, -0.041722189635038376, -0.04021886736154556, 0.047385189682245255, 0.01766183041036129, -0.02664341777563095, 0.02066674642264843, 0.04...
AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
2023-03-12T09:46:08Z
Теги вызова стилей ogipote drawdream1025 watanabe akio/ official art tanabe kyou Умеет в blush stickers, light blush, body blush, knee blush, shoulder blush, ringed eyes, slit pupils
[ -0.03243044391274452, -0.021133599802851677, 0.026714952662587166, 0.030818600207567215, 0.04527437314391136, -0.0078390808776021, -0.005329356528818607, 0.00022466237714979798, -0.020580653101205826, 0.06089460104703903, 0.030060093849897385, -0.02429300919175148, 0.047659654170274734, 0....
AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
27
2023-03-12T09:47:57Z
--- language: - en tags: - stable-diffusion - text-to-image - keras-dreambooth - nature license: creativeml-openrail-m inference: true library_name: keras --- ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More informat...
[ -0.024295832961797714, -0.028263811022043228, -0.030312154442071915, 0.003974336665123701, 0.033103495836257935, 0.002267685951665044, -0.011684762313961983, -0.011863058432936668, -0.02675003372132778, 0.04903402179479599, 0.019307270646095276, -0.04049965366721153, -0.002345521468669176, ...
AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
推荐采样器:Euler a DPM++ 2M Karras DPM++ SDE Karras 建议自己多尝试 推荐vae:mse840000_klf8anime.vae和vae-ft-mse-840000-ema-pruned 推荐高清修复算法:Latent (nearest-exact)和Latent 效果图:不保证一定可以,多抽卡 优化tag和负面tag抄 Vすき焼き@AIart 这位的,感谢分享 ((masterpiece:1.4, best quality)),((masterpiece, best quality)),cute little girl,loli,feel happy,graduate,Cherry ...
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AnonymousSub/rule_based_roberta_twostage_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, "...
24
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037097346037626266, -0.002799257170408964, -0.004860939458012581, 0.025703364983201027, 0.04534845054149628, -0.021303988993167877, -0.005802429746836424, -0.028100287541747093, -0.03354978933930397, 0.06688752770423889, 0.03263532370328903, -0.02346072532236576, 0.023406943306326866, 0...
AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
2023-03-12T10:45:52Z
--- 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...
[ -0.017034834250807762, -0.0168691985309124, -0.007258599158376455, 0.030538849532604218, 0.05205392837524414, -0.01777908392250538, -0.011037011630833149, -0.00918271578848362, -0.05769649147987366, 0.05437884479761124, -0.0014091593911871314, -0.008727163076400757, 0.02435038611292839, 0....
AnonymousSub/specter-bert-model
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
2023-03-12T10:46:08Z
--- 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 ...
[ -0.039210766553878784, -0.016382472589612007, -0.015619445592164993, 0.03551620617508888, 0.0463680662214756, -0.0038485825061798096, -0.012778962962329388, -0.024980295449495316, -0.030369866639375687, 0.05381746217608452, 0.020375948399305344, -0.032318972051143646, 0.01697971485555172, ...
AnonymousSub/unsup-consert-base_copy_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
26
null
--- 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 ...
[ -0.03795208781957626, -0.016886504366993904, -0.014224392361938953, 0.036870285868644714, 0.048928484320640564, -0.004941916558891535, -0.010899044573307037, -0.02411823533475399, -0.03365391865372658, 0.05655992776155472, 0.021197082474827766, -0.032466255128383636, 0.018051788210868835, ...
AnonymousSub/unsup-consert-base_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1536 dimensional dense vector space and can be used for tasks like clustering or semant...
[ -0.027623863890767097, -0.021682588383555412, -0.01443668082356453, 0.06220543757081032, 0.03001326136291027, 0.0310636218637228, -0.01888181082904339, 0.009174135513603687, -0.06477423757314682, 0.08129651099443436, 0.027345085516572, 0.011694146320223808, 0.009492415003478527, 0.03717527...
AnonymousSub/unsup-consert-papers-bert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
9
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad_modified_for_t5_qg model-index: - name: t5-end2end-questions-generation results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it,...
[ -0.0014489361783489585, -0.004925627261400223, 0.0024202903732657433, 0.035844963043928146, 0.04047373682260513, 0.000803104427177459, -0.027095435187220573, 0.0053567965514957905, -0.04030367359519005, 0.02543853037059307, 0.01427200436592102, -0.0173549335449934, -0.0016835882561281323, ...
ArBert/albert-base-v2-finetuned-ner
[ "pytorch", "tensorboard", "albert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
19
null
--- tags: - CartPole-v1 - 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: CartPole-v1 type: CartPole-v1 metrics: ...
[ -0.007959220558404922, -0.010085482150316238, -0.026670489460229874, 0.022369083017110825, 0.054275162518024445, -0.002007748233154416, 0.0022050233092159033, -0.019236324355006218, -0.03278758376836777, 0.0689917504787445, -0.007707663811743259, -0.023703787475824356, -0.010679705068469048,...
Aran/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
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 ...
[ -0.03757619485259056, -0.0029252658132463694, -0.004972424823790789, 0.025661425665020943, 0.045186471194028854, -0.021626196801662445, -0.005466257221996784, -0.02763308398425579, -0.033349983394145966, 0.06647375971078873, 0.031923044472932816, -0.023406198248267174, 0.023000089451670647, ...
Arnold/wav2vec2-large-xlsr-hausa2-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 - recall - precision model-index: - name: distilbert-base-uncased_finetuned_text_2_disease_cel_v1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should pr...
[ 0.005218168720602989, -0.002144548576325178, -0.01864233985543251, 0.018974430859088898, 0.042330432683229446, 0.010715438053011894, -0.01869269274175167, -0.04141746461391449, -0.04098471999168396, 0.04836748540401459, 0.017485279589891434, -0.02910482883453369, 0.021360795944929123, 0.04...
ArpanZS/debug_squad
[ "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...
14
null
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: helicopters-Vit results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.6041666865348816 --- # helicopters-Vit ...
[ -0.033511992543935776, -0.005421382840722799, 0.025194188579916954, 0.02772683836519718, 0.025411302223801613, -0.014738516882061958, -0.03673577308654785, -0.0026959218084812164, -0.00404770765453577, 0.033694200217723846, 0.01798352599143982, 0.006376432254910469, 0.010869190096855164, 0...