modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
card
stringlengths
51
438k
embedding
list
Captain-1337/CrudeBERT
[ "pytorch", "bert", "text-classification", "arxiv:1908.10063", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- tags: - 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...
[ -0.018373722210526466, -0.017197703942656517, -0.006384154781699181, 0.029981205239892006, 0.05142834410071373, -0.018182944506406784, -0.011967996135354042, -0.010060790926218033, -0.058796029537916183, 0.05311714485287666, -0.003078457433730364, -0.00915340892970562, 0.02558738738298416, ...
Carlork314/Xd
[]
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: - wer model-index: - name: MediumVin2 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. --> # MediumVin...
[ -0.03837030380964279, -0.010480217635631561, -0.006786637473851442, 0.03548218682408333, 0.03706388175487518, 0.004009328782558441, -0.008265245705842972, 0.003517881268635392, -0.014228420332074165, 0.06027846038341522, 0.029568135738372803, -0.0263583492487669, 0.0029742217157036066, 0.0...
Cat/Kitty
[]
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...
[ -0.042955074459314346, -0.0013022011844441295, -0.007669729180634022, 0.050057779997587204, 0.02832944504916668, 0.023600172251462936, -0.02530691772699356, -0.03933713957667351, -0.004418649710714817, 0.04855047166347504, 0.01865142025053501, -0.008013810031116009, 0.019605133682489395, 0...
Cathy/reranking_model
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
27
null
--- tags: - generated_from_trainer model-index: - name: pythia-70m-deduped-aid 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. --> # pythia-70m-deduped-aid ![Exampl...
[ -0.03716006502509117, -0.018047170713543892, -0.015500321984291077, 0.05436505004763603, 0.05558207258582115, 0.017753180116415024, -0.011326429434120655, -0.007095882203429937, -0.03500699624419212, 0.03580271825194359, 0.019964003935456276, -0.016583921387791634, -0.006538019515573978, 0...
dccuchile/albert-base-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
14
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 ...
[ -0.0376419872045517, -0.0027452383656054735, -0.004849244374781847, 0.02520262636244297, 0.04525478929281235, -0.0216105617582798, -0.005074830260127783, -0.027513662353157997, -0.03341423720121384, 0.06634011119604111, 0.031839028000831604, -0.023520302027463913, 0.022704361006617546, 0.0...
dccuchile/albert-large-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
null
--- license: gpl-3.0 --- Pre-trained word embeddings using the text of published biomedical manuscripts. These embeddings use 100 dimensions and were trained using the GloVe algorithm on all published manuscripts found in the [PMC Open Access Subset](https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/). See the paper h...
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dccuchile/albert-large-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
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...
25
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### ai-illustration Dreambooth model trained by masibasi with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Co...
[ -0.02796279266476631, -0.015789320692420006, -0.027885068207979202, 0.032686926424503326, 0.03253845497965813, 0.009805248118937016, 0.002349654445424676, 0.0028697303496301174, -0.01089667808264494, 0.03163702040910721, 0.04255540296435356, 0.008036666549742222, -0.027934955433011055, 0.0...
dccuchile/albert-large-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
1
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: tiny-mlm-glue-rte-from-scratch-custom-tokenizer-expand-vocab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then re...
[ -0.022733572870492935, -0.000449424289399758, -0.007986091077327728, 0.0388210229575634, 0.0548139251768589, 0.00637471117079258, -0.013474840670824051, -0.011235585436224937, -0.044557180255651474, 0.0579858236014843, 0.00553653109818697, -0.027049629017710686, 0.01220299769192934, 0.0276...
dccuchile/albert-large-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
5
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: t5-base-extraction-cnndm_fs0.05-all results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> #...
[ -0.035355303436517715, -0.012721258215606213, 0.003935614600777626, 0.012903225608170033, 0.03539314866065979, 0.0053929537534713745, -0.016661791130900383, -0.016916360706090927, -0.03367436304688454, 0.046629782766103745, 0.02438003569841385, -0.012065105140209198, -0.00028470094548538327,...
dccuchile/albert-large-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
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...
29
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: t5-base-extraction-cnndm_fs0.1-all results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # ...
[ -0.03437972813844681, -0.013562267646193504, 0.0036882024724036455, 0.011281583458185196, 0.03288017213344574, 0.006224825046956539, -0.016086099669337273, -0.017375120893120766, -0.03551926091313362, 0.04533744230866432, 0.025683950632810593, -0.010599483735859394, -0.0008521848940290511, ...
dccuchile/albert-tiny-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
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...
32
null
Access to model bunsenfeng/FactKB is restricted and you are not in the authorized list. Visit https://huggingface.co/bunsenfeng/FactKB to ask for access.
[ -0.050923168659210205, -0.011044404469430447, 0.00026276661083102226, 0.010399282909929752, 0.032410040497779846, 0.029030850157141685, 0.0008092057541944087, -0.0031210491433739662, -0.041912466287612915, 0.04840074107050896, 0.019081665202975273, 0.0189224686473608, 0.0320143960416317, 0...
dccuchile/albert-tiny-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- tags: - generated_from_trainer model-index: - name: tmp_trainer 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. --> # tmp_trainer This model was trained from sc...
[ -0.032014574855566025, -0.009351194836199284, -0.016079850494861603, 0.0441821925342083, 0.037506602704524994, 0.030711276456713676, 0.01012807060033083, -0.0029578800313174725, -0.03349129483103752, 0.05182027816772461, 0.044485148042440414, -0.009799291379749775, 0.0037872055545449257, 0...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-pawsx
[ "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...
24
null
--- language: "en" license: apache-2.0 tags: - token-classification - NER - Biomedical - Diseases datasets: - BC5CDR-diseases - ncbi_disease - tner/bc5cdr - commanderstrife/jnlpba - bc2gm_corpus - drAbreu/bc4chemd_ner - linnaeus - chintagunta85/ncbi_disease --- BioBERT model fine-tuned in NER task with BC5CDR-diseases ...
[ 0.009617556817829609, -0.012616180814802647, 0.009560263715684414, 0.0017270350363105536, 0.04020454362034798, 0.007131303194910288, -0.033274177461862564, -0.03911279886960983, -0.03216781094670296, 0.04305319860577583, 0.017066892236471176, 0.00014216422277968377, 0.019148997962474823, 0...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-pos
[ "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...
5
null
--- license: mit language: ja library_name: transformers tags: - pytorch - deberta - deberta-v2 - commonsenseqa - commonsense_qa - commonsense-qa - CommonsenseQA datasets: - wikipedia - cc100 - oscar metrics: - accuracy --- # このモデルはdeberta-v2-base-japaneseをファインチューニングしてCo...
[ 0.0014430793235078454, -0.039455145597457886, -0.00693496922031045, 0.049110133200883865, 0.025945885106921196, 0.022517627105116844, 0.000651716545689851, 0.0009274357580579817, -0.055456485599279404, 0.06298908591270447, 0.028047453612089157, -0.006394519470632076, 0.0184817835688591, 0....
dccuchile/bert-base-spanish-wwm-uncased-finetuned-qa-mlqa
[ "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...
5
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: small-mlm-glue-qqp-custom-tokenizer-expand-vocab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this co...
[ -0.026394881308078766, 0.0056450203992426395, -0.009712406434118748, 0.03785590082406998, 0.05064892768859863, 0.0005961935385130346, -0.0009928238578140736, -0.008139899000525475, -0.04039316624403, 0.04596403241157532, 0.0008625033078715205, -0.03805152699351311, 0.027446774765849113, 0....
Chaddmckay/Cdm
[]
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: artistic-2.0 --- astronauta andando à cavalo na lua'
[ -0.040804993361234665, -0.048327572643756866, -0.006027532741427422, 0.011646793223917484, 0.06755142658948898, -0.031192654743790627, 0.02628145180642605, 0.005906196311116219, -0.011887088418006897, 0.05327003821730614, 0.029447045177221298, -0.013582451269030571, 0.015555881895124912, 0...
ChaitanyaU/FineTuneLM
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer metrics: - rouge model-index: - name: final_bart_prepro_fix 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. --> # fin...
[ -0.023558633401989937, -0.018244709819555283, -0.008952748030424118, 0.04047548770904541, 0.024565938860177994, 0.008028829470276833, -0.033994607627391815, 0.0010999852092936635, -0.051441092044115067, 0.055581189692020416, 0.005937203764915466, -0.036277320235967636, 0.020326150581240654, ...
Champion/test_upload_vox2_wavlm_epoch8
[ "sidekit", "audio" ]
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: 7.50 +/- 2.70...
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Chan/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
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: small-mlm-glue-sst2-from-scratch-custom-tokenizer-expand-vocab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then ...
[ -0.023707037791609764, 0.0028591682203114033, -0.01985521987080574, 0.03607429563999176, 0.05467645823955536, 0.011793752200901508, -0.009334549307823181, -0.007009694818407297, -0.05169128254055977, 0.06196612864732742, 0.008294748142361641, -0.024549365043640137, 0.02013898827135563, 0.0...
ChauhanVipul/BERT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: sentiment_roberta_large_with_diary 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. --> # ...
[ -0.020944496616721153, 0.012691137380897999, -0.001077480847015977, 0.0544004812836647, 0.034767571836709976, 0.018452642485499382, -0.015047532506287098, -0.03355113044381142, -0.035745128989219666, 0.053585655987262726, 0.027461281046271324, -0.0536905936896801, -0.0007019332842901349, 0...
ChoboAvenger/DialoGPT-small-joshua
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semanti...
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Chungu424/qazwsx
[]
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-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.052999064326286316, 0.005470031872391701, -0.004415704403072596, 0.05640343204140663, 0.02547518163919449, 0.02940383180975914, -0.0020352164283394814, -0.028132228180766106, -0.005164207424968481, 0.05001916363835335, 0.017452651634812355, -0.013018760830163956, 0.0072279819287359715, ...
Chungu424/repodata
[]
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: - wer - cer model-index: - name: wav2vec2-xls-r-300m-th-cv11_0 results: [] datasets: - mozilla-foundation/common_voice_11_0 language: - th pipeline_tag: automatic-speech-recognition --- <!-- This model card has been generated automatically according to ...
[ -0.026169823482632637, -0.0012585993390530348, -0.025485632941126823, 0.024875856935977936, 0.043377578258514404, 0.021811379119753838, -0.01914013735949993, 0.00006988045788602903, -0.029570026323199272, 0.06313590705394745, 0.030133575201034546, -0.025632228702306747, 0.010282004252076149,...
ClydeWasTaken/DialoGPT-small-joshua
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model_index: - name: distilbert-base-uncased-finetuned-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos args: plus ...
[ -0.006774757523089647, 0.0030734646134078503, -0.027268996462225914, 0.04147122800350189, 0.04468942806124687, 0.015448625199496746, -0.033692508935928345, -0.023223793134093285, -0.029822491109371185, 0.05344565212726593, 0.006672737188637257, -0.0154330525547266, 0.019202599301934242, 0....
CoderBoy432/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...
11
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-2500...
[ -0.012019396759569645, -0.029888276010751724, -0.019505493342876434, 0.012672490440309048, 0.034471068531274796, 0.003476734273135662, -0.0022804015316069126, 0.0005997114931233227, -0.04758039116859436, 0.06919103860855103, 0.015308952890336514, -0.022621946409344673, 0.011558068916201591, ...
CoffeeAddict93/gpt2-call-of-the-wild
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: en thumbnail: http://www.huggingtweets.com/kamalaharris/1675235849346/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...
[ 0.004511028062552214, -0.039334315806627274, 0.0006490236264653504, 0.05392076075077057, 0.05243082717061043, 0.01444297470152378, -0.013603096827864647, -0.007473857142031193, -0.042652372270822525, 0.03568531945347786, 0.00945880077779293, -0.005736200604587793, -0.007854430936276913, 0....
Coldestadam/Breakout_Mentors_SpongeBob_Model
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
2023-02-01T07:37:21Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04984579235315323, -0.016218772158026695, -0.008309011347591877, 0.03602232038974762, 0.040686771273612976, 0.0026673160027712584, -0.021132737398147583, -0.010616859421133995, -0.037556231021881104, 0.057476773858070374, 0.024456731975078583, -0.0035393161233514547, 0.031766947358846664,...
ComCom/gpt2-medium
[ "pytorch", "gpt2", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "GPT2Model" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
5
null
--- tags: - autotrain - tabular - classification - tabular-classification datasets: - reesu/autotrain-data-wine_quality co2_eq_emissions: emissions: 8.276808778335907 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 3195889861 - CO2 Emissions (in grams): 8.2768 ## Validati...
[ -0.015413512475788593, -0.02426903508603573, 0.01382380723953247, 0.044210586696863174, 0.053307194262742996, 0.012741859070956707, -0.03118249587714672, -0.004927370697259903, -0.038091570138931274, 0.05966310203075409, 0.020008843392133713, 0.01674794964492321, 0.0299509409815073, 0.0435...
ComCom-Dev/gpt2-bible-test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-01T07:51:28Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: small-mlm-glue-stsb-from-scratch-custom-tokenizer-expand-vocab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then ...
[ -0.026474231854081154, 0.004442352335900068, -0.02273659035563469, 0.03862419351935387, 0.05196147412061691, 0.01160474680364132, -0.007719908840954304, -0.006979775615036488, -0.0475119985640049, 0.060363419353961945, 0.008063777349889278, -0.02834169752895832, 0.020051417872309685, 0.027...
Cometasonmi451/Mine
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-01T07:55:27Z
--- license: mit tags: - generated_from_trainer datasets: - snli model-index: - name: test_trainer 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. --> # test_trainer...
[ -0.03217687830328941, -0.013411874882876873, -0.0145964240655303, 0.040816064924001694, 0.02698071300983429, 0.03598158061504364, -0.011434311047196388, -0.009782111272215843, -0.045879632234573364, 0.059920720756053925, 0.02188914269208908, -0.02821633592247963, 0.014295941218733788, 0.04...
cometrain/neurotitle-rugpt3-small
[ "pytorch", "gpt2", "text-generation", "ru", "en", "dataset:All-NeurIPS-Papers-Scraper", "transformers", "Cometrain AutoCode", "Cometrain AlphaML", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
20
null
--- license: cc-by-nc-4.0 --- Null v1.2 作者:孤辰Null 发布日期:2023.1.29
[ -0.039414629340171814, -0.016205664724111557, -0.004324046429246664, 0.005896541755646467, 0.055007416754961014, 0.008244256488978863, -0.014359554275870323, 0.014273429289460182, -0.025718050077557564, 0.038566865026950836, 0.040532901883125305, 0.004177550785243511, 0.04563397169113159, ...
Contrastive-Tension/BERT-Distil-CT
[ "pytorch", "tf", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
9
2023-02-01T08:20:43Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: small-mlm-glue-stsb-custom-tokenizer-expand-vocab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this c...
[ -0.030754199251532555, 0.0062634567730128765, -0.018534988164901733, 0.0378941111266613, 0.05096295475959778, 0.012390471063554287, -0.008367096073925495, -0.0054593500681221485, -0.045239079743623734, 0.054174210876226425, 0.009858825244009495, -0.03226332366466522, 0.025761015713214874, ...
Contrastive-Tension/BERT-Large-CT-STSb
[ "pytorch", "tf", "jax", "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...
7
null
--- license: cc-by-4.0 tags: - generated_from_trainer model-index: - name: roberta-finetuned-qa-policy results: [] datasets: - GIZ/policy_qa_v0 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.006624083034694195, -0.022824950516223907, -0.0018486120970919728, 0.03143326938152313, 0.030622122809290886, 0.03496203199028969, -0.0160799790173769, -0.006497176364064217, -0.023018233478069305, 0.028325174003839493, 0.012788261286914349, -0.015896623954176903, 0.02277766540646553, 0...
Crisblair/Wkwk
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-01T09:25:22Z
--- 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 768 dimensional dense vector space and can be used for tasks like clustering or semanti...
[ -0.025008875876665115, -0.02498581074178219, -0.02000334858894348, 0.059458404779434204, 0.03103288635611534, 0.034239329397678375, -0.01753751002252102, 0.008448388427495956, -0.06581064313650131, 0.08129885047674179, 0.028167596086859703, 0.012308284640312195, 0.009727487340569496, 0.037...
DJStomp/TestingSalvoNET
[ "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
1
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-expand-vocab-target-glue-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You ...
[ -0.02679882012307644, 0.002357731806114316, -0.006202475167810917, 0.03430060297250748, 0.059200748801231384, 0.015938008204102516, -0.013702653348445892, -0.011755386367440224, -0.039262354373931885, 0.06595795601606369, 0.038735151290893555, -0.004847176373004913, 0.018859755247831345, 0...
DKpro000/DialoGPT-small-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.04101666435599327, -0.016390366479754448, -0.01651442050933838, 0.03673041984438896, 0.04894401133060455, -0.004940816666930914, -0.014611613936722279, -0.024108100682497025, -0.030363956466317177, 0.05363326519727707, 0.021699538454413414, -0.03153635933995247, 0.01905231736600399, 0.0...
DSI/TweetBasedSA
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- title: HARDblend colorFrom: green colorTo: indigo sdk: gradio sdk_version: 3.11.0 pinned: false license: creativeml-openrail-m tags: - stable-diffusion - text-to-image - art inference: true language: - en library_name: diffusers --- # **HARDblend** A versatile photorealistic NSFW capable model which is great at gen...
[ -0.019083457067608833, -0.021200530230998993, -0.02693204954266548, 0.039472054690122604, 0.04019360616803169, 0.018868228420615196, -0.005767320282757282, 0.00030376308131963015, -0.016270222142338753, 0.04725714772939682, 0.006357498466968536, 0.002880457788705826, 0.018917158246040344, ...
DanL/scientific-challenges-and-directions
[ "pytorch", "bert", "text-classification", "en", "dataset:DanL/scientific-challenges-and-directions-dataset", "arxiv:2108.13751", "transformers", "generated_from_trainer" ]
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...
134
2023-02-01T11:59:27Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
DarkKibble/DialoGPT-medium-Tankman
[]
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
# Introduction See https://github.com/Tencent/ncnn/issues/4503 for details ## File description - `m.pt`, the torchscript model - `m.inlined_graph`, text representation of `m.pt` - `m.ncnn.param`, after fixing pnnx, it is the result of `pnnx ./m.pt`
[ -0.015186712145805359, -0.005128537770360708, 0.011107438243925571, 0.03792668506503105, 0.024688921868801117, 0.030132461339235306, -0.005456825252622366, -0.009874088689684868, -0.0032463024836033583, 0.021713443100452423, 0.03562531992793083, -0.02708238735795021, 0.021517233923077583, ...
DataikuNLP/TinyBERT_General_4L_312D
[ "pytorch", "jax", "bert", "arxiv:1909.10351", "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...
74
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: bert-base-uncased-finetuned-effectiveness-redditCMV results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete ...
[ -0.0016357831191271544, 0.005226213950663805, -0.009251018986105919, 0.03119966946542263, 0.03469904512166977, 0.01939687505364418, -0.015305701643228531, -0.021096954122185707, -0.03915064409375191, 0.056323159486055374, 0.02373725362122059, -0.019494660198688507, 0.026692887768149376, 0....
DataikuNLP/camembert-base
[ "pytorch", "tf", "camembert", "fill-mask", "fr", "dataset:oscar", "arxiv:1911.03894", "transformers", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "CamembertForMaskedLM" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_...
8
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: Vin_medium1234 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. --> # Vin_m...
[ -0.03545946627855301, -0.009884812869131565, 0.004546897020190954, 0.021056899800896645, 0.036766309291124344, 0.0018022394506260753, -0.010881569236516953, -0.005547406151890755, -0.017266571521759033, 0.06421154737472534, 0.03754720464348793, -0.036891162395477295, 0.00412033312022686, 0...
DavidAMcIntosh/small-rick
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: tiny-mlm-glue-cola-custom-tokenizer-expand-vocab-target-glue-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probab...
[ -0.03015781007707119, 0.002954392693936825, -0.004479972645640373, 0.03720345348119736, 0.055878255516290665, 0.020488111302256584, -0.017234180122613907, -0.006904032547026873, -0.036688532680273056, 0.05768519267439842, 0.03997252508997917, -0.007568666245788336, 0.030537854880094528, 0....
Davlan/m2m100_418M-eng-yor-mt
[ "pytorch", "m2m_100", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "M2M100ForConditionalGeneration" ], "model_type": "m2m_100", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
9
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 ...
[ -0.03740668669342995, -0.0030396596994251013, -0.005318744573742151, 0.02599026821553707, 0.04591638967394829, -0.02121155336499214, -0.005696876905858517, -0.028461270034313202, -0.0329483300447464, 0.0664835125207901, 0.032667215913534164, -0.023544954136013985, 0.023177439346909523, 0.0...
Davlan/m2m100_418M-yor-eng-mt
[ "pytorch", "m2m_100", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "M2M100ForConditionalGeneration" ], "model_type": "m2m_100", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
6
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.02180434577167034, -0.012843634933233261, 0.01092294231057167, 0.030138373374938965, 0.022700823843479156, 0.025134924799203873, 0.004358671139925718, -0.0075232237577438354, -0.005844584200531244, 0.06209691986441612, -0.0008153413073159754, -0.015763606876134872, 0.025967542082071304, ...
Davlan/mt5-small-pcm-en
[ "pytorch", "mt5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
9
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: 7.54 +/- 2.71 ...
[ -0.019685043022036552, -0.015308769419789314, -0.006672910880297422, 0.02631751075387001, 0.045161157846450806, -0.0018495626281946898, -0.018668856471776962, 0.007769444026052952, -0.03621188923716545, 0.05272823944687843, 0.01679498329758644, -0.007743844296783209, 0.013940519653260708, ...
Davlan/mt5_base_yor_eng_mt
[ "pytorch", "mt5", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
8
null
--- license: cc-by-nc-sa-4.0 --- # YanYuan-v1-lora-sd2 ## 下载 - [yanyuan-v2](./yanyuan-v2.safetensors) (适用于 Stable Diffusion v2 系列模型) ## 预览图 ![preview_1](./preview_1.png) 基础模型:[PVC v2](https://huggingface.co/p1atdev/pvc) ```text masterpiece, best quality, 1girl, <lora:yanyuan-v2:0.9>, long hair, red eyes, black h...
[ -0.044072628021240234, -0.032196205109357834, 0.003222587052732706, 0.05203095078468323, 0.03219131380319595, -0.0020176388788968325, 0.0014210926601663232, -0.030258994549512863, -0.017708895727992058, 0.04652019590139389, 0.016977490857243538, -0.01654975675046444, 0.02986486256122589, 0...
Davlan/xlm-roberta-base-finetuned-amharic
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
401
null
--- datasets: - biglam/encyclopaedia_britannica_illustrated library_name: transformers pipeline_tag: image-classification tags: - lam ---
[ -0.019938401877880096, -0.0021980872843414545, 0.015199212357401848, 0.02088933065533638, 0.05005057156085968, -0.004927986301481724, 0.0016389160882681608, -0.0018773259362205863, -0.035456765443086624, 0.046192675828933716, 0.037803079932928085, 0.004645356442779303, -0.003137142863124609,...
Davlan/xlm-roberta-base-finetuned-igbo
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
68
null
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801413252949715, -0.0177990160882473, 0.009709034115076065, 0.040950655937194824, 0.04654869809746742, -0.0027751356828957796, 0.013433797284960747, -0.008017306216061115, -0.036281563341617584, 0.04279222711920738, 0.02568740025162697, -0.0006620007916353643, 0.03954673185944557, 0....
Davlan/xlm-roberta-base-finetuned-lingala
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
9
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 ...
[ -0.037924569100141525, -0.002939065219834447, -0.004809382371604443, 0.02559526450932026, 0.045430995523929596, -0.021544385701417923, -0.005597531795501709, -0.027979638427495956, -0.03338909521698952, 0.0667908564209938, 0.03273744136095047, -0.023384608328342438, 0.022533586248755455, 0...
Davlan/xlm-roberta-base-finetuned-shona
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
5
null
--- license: cc-by-nc-sa-4.0 --- # YanHuo-v1-lora-sd2 ## 下载 - [yanhuo-v2](./yanhuo-v2.safetensors) (适用于 Stable Diffusion v2 系列模型) ## 预览图 ![preview_1](./preview_1.png) 基础模型:[PVC v2](https://huggingface.co/p1atdev/pvc) ```text masterpiece, best quality, <lora:yanhuo-v2:0.9>, 1girl, blue eyes, solo, ahoge, white ha...
[ -0.040150560438632965, -0.030497949570417404, 0.004114256240427494, 0.05424237996339798, 0.035153765231370926, -0.005758747458457947, 0.0035092411562800407, -0.02910616621375084, -0.03426934406161308, 0.05077439919114113, 0.01177864708006382, -0.020387597382068634, 0.02609635889530182, 0.0...
Dazai/Ko
[]
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: - bible-nlp/biblenlp-corpus language: - he pipeline_tag: text-generation --- # hebrew_bible_ai Finetuned gpt2-xl model on the Hebrew bible. This will babble new potentially good looking Hebrew bible verses. You can run an example at Hugging Face: https://huggingface.co/tombenj/hebrew_bible_...
[ -0.012501789256930351, -0.022773101925849915, 0.006134952884167433, 0.03146113455295563, 0.019678788259625435, 0.022220415994524956, 0.008400888182222843, -0.010998622514307499, -0.029944317415356636, 0.040928035974502563, -0.005244586616754532, 0.016046397387981415, 0.025877514854073524, ...
DeadBeast/marathi-roberta-base
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m library_name: diffusers pipeline_tag: text-to-image tags: - art duplicated_from: Toooajk/Cornflower_v7 --- ![width_525.jpeg](https://img1.imgtp.com/2023/01/28/QDGnKbBd.jpeg) Cornflower is a comprehensive painting model based on StableDiffusion, trained with specific styles of illust...
[ -0.014682167209684849, -0.01703104004263878, 0.00740321259945631, 0.018806736916303635, 0.03338393568992615, 0.004056970588862896, -0.021762123331427574, -0.023327745497226715, 0.007357113528996706, 0.06248895451426506, 0.030914297327399254, -0.003921410068869591, 0.009435505606234074, 0.0...
Dean/summarsiation
[]
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: 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 ...
[ -0.020573781803250313, -0.01457010954618454, -0.007587932050228119, 0.025617027655243874, 0.047368958592414856, -0.0004606889851856977, -0.020766079425811768, 0.0060676042921841145, -0.03655637428164482, 0.05315837264060974, 0.017029965296387672, -0.006782188545912504, 0.012805864214897156, ...
DecafNosebleed/ScaraBot
[]
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: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.48 +/- 2.74 ...
[ -0.01872105896472931, -0.01480496022850275, -0.00825133454054594, 0.025496384128928185, 0.046807337552309036, -0.0024112756364047527, -0.02158052660524845, 0.007490311749279499, -0.03771265968680382, 0.05452820286154747, 0.016908304765820503, -0.006637072190642357, 0.012550036422908306, 0....
Declan/Breitbart_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/detoxify-pile-chunk3-0-50000 - tomekkorbak/detoxify-pile-chunk3-50000-100000 - tomekkorbak/detoxify-pile-chunk3-100000-150000 - tomekkorbak/detoxify-pile-chunk3-150000-200000 - tomekkorbak/detoxify-pile-chunk3-200000-250000 - tomekko...
[ -0.00796584039926529, -0.039861295372247696, -0.020935583859682083, 0.013672241009771824, 0.04076392576098442, 0.025072399526834488, -0.009637163020670414, -0.0012835279339924455, -0.034742143005132675, 0.06589392572641373, 0.01830139383673668, -0.014861584641039371, 0.017111042514443398, ...
Declan/CNN_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-02-01T15:16:50Z
--- license: apache-2.0 tags: - classification - generated_from_trainer datasets: - tweet_eval metrics: - accuracy model-index: - name: distilbert_classificator results: - task: name: Text Classification type: text-classification dataset: name: tweet_eval type: tweet_eval config: e...
[ -0.0016643619164824486, -0.007344766054302454, -0.03401922807097435, 0.049819495528936386, 0.06889495253562927, 0.039508525282144547, -0.03230755403637886, -0.03479707986116409, -0.04727382957935333, 0.049571044743061066, 0.028493408113718033, -0.02318175882101059, 0.011676663532853127, 0....
Declan/FoxNews_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: cc-by-sa-4.0 language: - en pipeline_tag: image-to-text ---
[ -0.008492658846080303, -0.025832397863268852, -0.008442961610853672, 0.007093855645507574, 0.06947217881679535, -0.010853869840502739, -0.004615229554474354, 0.024669505655765533, -0.04384820908308029, 0.04773750901222229, 0.02683347836136818, 0.004482549149543047, 0.016875093802809715, 0....
Declan/NewYorkTimes_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-02-01T16:51:35Z
--- license: apache-2.0 tags: - text-classification - generated_from_trainer metrics: - accuracy model-index: - name: nmp 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 comme...
[ -0.012615969404578209, -0.003265736624598503, -0.009779302403330803, 0.05142183229327202, 0.03477168828248978, 0.015778176486492157, -0.008067367598414421, -0.029694506898522377, -0.03643084689974785, 0.05226529389619827, 0.007060949690639973, -0.037691615521907806, 0.00940768513828516, 0....
Declan/NewYorkTimes_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-Slippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4 type: FrozenLake-v1-4x4 metrics: ...
[ -0.018961654976010323, -0.01713613234460354, -0.003233229275792837, 0.0307488851249218, 0.05071290582418442, -0.016719050705432892, -0.010289208963513374, -0.006067707668989897, -0.05774591863155365, 0.05478683486580849, 0.00244534807279706, -0.005521299783140421, 0.02590242587029934, 0.03...
Declan/Politico_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- datasets: - relbert/semeval2012_relational_similarity model-index: - name: relbert/relbert-roberta-large-triplet-d-semeval2012 results: - task: name: Relation Mapping type: sorting-task dataset: name: Relation Mapping args: relbert/relation_mapping type: relation-mapping me...
[ 0.002577470615506172, -0.010015377774834633, -0.0253833569586277, 0.05489737540483475, 0.04504119232296944, 0.029536008834838867, -0.03371405228972435, -0.010015010833740234, -0.06253229081630707, 0.028446068987250328, 0.016311945393681526, 0.004309588111937046, 0.01808919571340084, 0.0295...
Declan/Reuters_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- datasets: - relbert/semeval2012_relational_similarity model-index: - name: relbert/relbert-roberta-large-triplet-e-semeval2012 results: - task: name: Relation Mapping type: sorting-task dataset: name: Relation Mapping args: relbert/relation_mapping type: relation-mapping me...
[ 0.0033618116285651922, -0.008366914466023445, -0.023557227104902267, 0.054740384221076965, 0.043862540274858475, 0.030347835272550583, -0.03354703634977341, -0.009499349631369114, -0.06309246271848679, 0.027943439781665802, 0.01645350269973278, 0.003933340776711702, 0.01791478879749775, 0....
Declan/Reuters_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - classification - generated_from_trainer metrics: - accuracy model-index: - name: clasificador-muchocine results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --...
[ -0.029346417635679245, -0.002376546384766698, -0.0044456119649112225, 0.03536807745695114, 0.03749803826212883, 0.032805271446704865, -0.016780802980065346, -0.010481078177690506, -0.0394931323826313, 0.057859957218170166, 0.022570393979549408, -0.020336877554655075, -0.0042274706065654755, ...
Declan/Reuters_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
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 1024 dimensional dense vector space and can be used for tasks like clustering or semanti...
[ -0.026403475552797318, -0.022794611752033234, -0.0180162712931633, 0.05792190879583359, 0.028900519013404846, 0.03196852654218674, -0.019494907930493355, 0.009540465660393238, -0.06459703296422958, 0.08091557025909424, 0.02814438007771969, 0.009859300218522549, 0.010461180470883846, 0.0367...
Declan/Reuters_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: creativeml-openrail-m language: - en library_name: diffusers pipeline_tag: text-to-image tags: - stable-diffusion --- A stylized anime model.And You can use it with lora.MoonTea is my merge which were created by combining different models.
[ -0.035405233502388, -0.005740748718380928, 0.0011467315489426255, 0.027068544179201126, 0.05045231431722641, 0.007540790364146233, 0.004523307550698519, -0.01671389490365982, -0.005148273427039385, 0.07113158702850342, 0.03379201143980026, -0.013080216012895107, 0.022015240043401718, 0.048...
Declan/WallStreetJournal_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - autotrain - vision - image-classification datasets: - Kanr1u/autotrain-data-emma2 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/teapot.jpg example_title: Teapot - sr...
[ -0.016573596745729446, -0.01395408809185028, 0.023206399753689766, 0.04880232736468315, 0.048975471407175064, -0.003843567566946149, -0.014482831582427025, 0.0030138613656163216, -0.042136482894420624, 0.06365350633859634, -0.0020906012505292892, 0.0024412223137915134, 0.000772227649576962, ...
Declan/WallStreetJournal_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
Access to model DhruvShek/swearbot is restricted and you are not in the authorized list. Visit https://huggingface.co/DhruvShek/swearbot to ask for access.
[ -0.04045635834336281, 0.007257398683577776, -0.0005428887670859694, 0.028111597523093224, 0.03237409144639969, 0.010078242979943752, 0.007022536359727383, 0.007249245420098305, -0.06190824508666992, 0.04847994074225426, 0.04494156688451767, 0.01957123912870884, 0.0007004561484791338, 0.039...
Declan/WallStreetJournal_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
2023-02-01T17:53:14Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: result results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # result This model is a fine...
[ -0.024752464145421982, -0.00384775479324162, -0.023633351549506187, 0.04216907173395157, 0.03599458187818527, 0.03206354007124901, -0.010908281430602074, -0.012878403067588806, -0.03758853301405907, 0.05821332335472107, 0.045538485050201416, -0.018253156915307045, 0.013186471536755562, 0.0...
Declan/test_push
[]
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-v3-4 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2....
[ -0.01979539357125759, -0.013740606606006622, -0.006008731201291084, 0.026141582056879997, 0.04842844605445862, -0.0012056109262630343, -0.018962210044264793, 0.00732817267999053, -0.037997566163539886, 0.0512385293841362, 0.016389841213822365, -0.00588653702288866, 0.012890299782156944, 0....
DeepChem/ChemBERTa-10M-MLM
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
90
null
--- library_name: stable-baselines3 tags: - PandaPushJointsDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaPushJointsDense-v2 type: ...
[ -0.049536753445863724, -0.009048937819898129, -0.007300547789782286, 0.03947737067937851, 0.03875281661748886, 0.0018238377524539828, -0.02315344847738743, -0.00785163976252079, -0.03525824472308159, 0.05900639668107033, 0.015502583235502243, -0.0067748394794762135, 0.032702673226594925, 0...
DeepChem/ChemBERTa-5M-MLM
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
29
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### LCMNPM Dreambooth model trained by rodrigobrand with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [...
[ -0.031998418271541595, -0.003682468319311738, -0.024445412680506706, 0.03044397197663784, 0.029613377526402473, 0.010131261311471462, 0.004818273242563009, 0.006823153235018253, -0.013930879533290863, 0.0344962440431118, 0.04223266988992691, 0.004991361405700445, -0.030889146029949188, 0.0...
DeepChem/ChemBERTa-77M-MLM
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
2,416
null
# IMDB Classification with BERT --- license: mit datasets: - imdb language: - en metrics: - accuracy - f1 library_name: transformers pipeline_tag: text-classification ---
[ -0.014148622751235962, 0.001803005114197731, -0.02205941081047058, 0.03214884176850319, 0.029980653896927834, 0.041379041969776154, -0.0377405546605587, 0.00314638065174222, -0.015438812784850597, 0.04413917288184166, 0.04105193540453911, -0.006896965205669403, 0.04114929214119911, 0.05170...
DeepChem/SmilesTokenizer_PubChem_1M
[ "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...
227
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 config:...
[ -0.00008905264257919043, 0.010252458974719048, -0.014927142299711704, 0.0299945417791605, 0.038580272346735, 0.011226802133023739, -0.03594646975398064, -0.03731696307659149, -0.03255752474069595, 0.056875862181186676, 0.028186684474349022, -0.013061127625405788, 0.019834820181131363, 0.02...
DeepPavlov/bert-base-cased-conversational
[ "pytorch", "jax", "bert", "feature-extraction", "en", "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...
3,009
2023-02-01T18:30:55Z
--- 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...
[ -0.040666934102773666, -0.0026070023886859417, -0.00708176102489233, 0.04864226654171944, 0.02839093655347824, 0.024170683696866035, -0.024293716996908188, -0.03757493942975998, -0.006068979389965534, 0.0495009608566761, 0.020317377522587776, -0.008347426541149616, 0.020401638001203537, 0....
DeepPavlov/marianmt-tatoeba-ruen
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
30
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-2500...
[ -0.012019396759569645, -0.029888276010751724, -0.019505493342876434, 0.012672490440309048, 0.034471068531274796, 0.003476734273135662, -0.0022804015316069126, 0.0005997114931233227, -0.04758039116859436, 0.06919103860855103, 0.015308952890336514, -0.022621946409344673, 0.011558068916201591, ...
DeepPavlov/rubert-base-cased-conversational
[ "pytorch", "jax", "bert", "feature-extraction", "ru", "transformers", "has_space" ]
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...
17,362
null
--- license: mit tags: - generated_from_trainer model-index: - name: codeparrot-gp2-finetune 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. --> # codeparrot-gp2-fin...
[ -0.03300479054450989, -0.016870982944965363, -0.00761403376236558, 0.03294559195637703, 0.03376861661672592, 0.01626771129667759, -0.009329979307949543, 0.012136462144553661, -0.031370535492897034, 0.05291702598333359, 0.023826874792575836, -0.011125520803034306, 0.012469490058720112, 0.03...
DeividasM/wav2vec2-large-xlsr-53-lithuanian
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "lt", "dataset:common_voice", "transformers", "audio", "speech", "xlsr-fine-tuning-week", "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...
7
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: anipoma1 --- ### Duskfall's Animanga Model Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept v...
[ -0.053966034203767776, -0.0318782776594162, -0.01886191964149475, 0.023687729611992836, 0.042094722390174866, 0.01230519637465477, -0.006838418077677488, -0.01968979649245739, -0.02525322511792183, 0.06522948294878006, 0.05525679141283035, 0.02684985101222992, -0.01791716367006302, 0.04164...
DeltaHub/lora_t5-base_mrpc
[ "pytorch", "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
2023-02-01T19:16:25Z
--- license: openrail++ datasets: - Anthropic/hh-rlhf - merve/my_notes - openai/summarize_from_feedback - fka/awesome-chatgpt-prompts language: - aa - ae - am - az - an - ak - af library_name: adapter-transformers pipeline_tag: text-to-image tags: - art ---
[ -0.024464918300509453, -0.014315671287477016, -0.014337524771690369, 0.023579441010951996, 0.06079579517245293, 0.013345957733690739, -0.0175572969019413, -0.011683532036840916, -0.04277493432164192, 0.047873497009277344, 0.03473202511668205, 0.025991283357143402, -0.0020269937813282013, 0...
Denilson/gbert-base-germaner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole8 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: m...
[ -0.030919233337044716, 0.018502330407500267, 0.004949041176587343, 0.00873645395040512, 0.044246237725019455, -0.01817164197564125, -0.02220330946147442, -0.016565581783652306, -0.02970695123076439, 0.08533412963151932, 0.016771797090768814, -0.007665568497031927, 0.017873026430606842, 0.0...
Deniskin/essays_small_2000i
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-01T19:35:51Z
--- tags: - generated_from_trainer model-index: - name: pythia-160m-deduped-aid 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. --> # pythia-160m-deduped-aid ![Exam...
[ -0.04037138819694519, -0.01399367954581976, -0.018654871731996536, 0.05033028870820999, 0.053770359605550766, 0.018710443750023842, -0.01373883057385683, -0.006787278223782778, -0.03067944571375847, 0.03497863933444023, 0.01107119582593441, -0.015569549985229969, -0.006595740560442209, 0.0...
Denver/distilbert-base-uncased-finetuned-squad
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail datasets: - fka/awesome-chatgpt-prompts language: - en metrics: - chrf library_name: nemo tags: - chemistry ---
[ -0.03359401598572731, -0.029522636905312538, 0.00877272617071867, -0.008285211399197578, 0.04132270812988281, 0.014509305357933044, -0.012024546042084694, 0.011228352785110474, -0.04096243530511856, 0.03545753285288811, 0.0268907081335783, 0.046214450150728226, 0.0225872490555048, 0.040285...
DeskDown/MarianMixFT_en-hi
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - spacy language: - en model-index: - name: en_ml_pipeline_last results: [] --- | Feature | Description | | --- | --- | | **Name** | `en_ml_pipeline_last` | | **Version** | `0.0.0` | | **spaCy** | `>=3.4.4,<3.5.0` | | **Default Pipeline** | `tok2vec`, `transformer`, `dual` | | **Components** | `tok2vec`, `t...
[ -0.003693460486829281, -0.006676446180790663, -0.01843045838177204, 0.033153992146253586, 0.05870754271745682, 0.014049730263650417, -0.007952067069709301, 0.0010890293633565307, -0.04893775284290314, 0.05654586851596832, 0.02916933037340641, -0.012179490178823471, 0.0010474566370248795, 0...
Despin89/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: my_new_asr_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. --> # my_...
[ -0.03941639885306358, -0.016186151653528214, -0.01836867444217205, 0.038579002022743225, 0.034063562750816345, 0.02562100440263748, -0.005844444967806339, -0.007751770317554474, -0.03906107693910599, 0.06124311685562134, 0.03627961874008179, -0.022181035950779915, 0.0010585213312879205, 0....
Devid/DialoGPT-small-Miku
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- license: openrail model-index: - name: SantaCoder results: - task: type: text-generation dataset: type: nuprl/MultiPL-E name: MultiPL HumanEval (Lua) metrics: - name: pass@1 type: pass@1 value: 0.09 verified: false --- This model is a fine-tuned [SantaCoder](http...
[ -0.027780406177043915, -0.020293502137064934, 0.010135709308087826, 0.036337532103061676, 0.05132948234677315, 0.03226017206907272, -0.0415426604449749, -0.020737824961543083, -0.04117932170629501, 0.0382649302482605, 0.028667638078331947, 0.002613617107272148, 0.014172150753438473, 0.0359...
DevsIA/imagenes
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice model-index: - name: wav2vec2-large-xls-r-300m-turkish-colab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.032204605638980865, -0.00421051774173975, -0.02949182502925396, 0.05079783871769905, 0.05205493047833443, 0.02650839276611805, -0.009000511839985847, -0.0007009175606071949, -0.014127859845757484, 0.04947736859321594, 0.0453532449901104, -0.012328090146183968, -0.005025085061788559, 0.0...
Dibyaranjan/nl_image_search
[]
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-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.032436951994895935, -0.0024852859787642956, -0.019757796078920364, 0.05088776350021362, 0.03909590095281601, 0.026502668857574463, -0.0022059509065002203, -0.0361245796084404, -0.026734484359622, 0.047899238765239716, 0.022563980892300606, -0.004545961506664753, 0.01953333429992199, 0.0...
Digakive/Hsgshs
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.02215343900024891, -0.01328627672046423, 0.012620341032743454, 0.030217038467526436, 0.023918218910694122, 0.02485664375126362, 0.004516995511949062, -0.0058297100476920605, -0.00468631973490119, 0.06221679225564003, -0.0004528698918875307, -0.01562630943953991, 0.02392583154141903, 0.0...
DimaOrekhov/cubert-method-name
[ "pytorch", "encoder-decoder", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
10
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...
[ -0.017369532957673073, -0.01773878186941147, -0.0066544003784656525, 0.030730195343494415, 0.05163126066327095, -0.01680401712656021, -0.011391263455152512, -0.009007458575069904, -0.059617891907691956, 0.054552119225263596, -0.0018312674947082996, -0.008911374025046825, 0.02527916058897972,...
DivyanshuSheth/T5-Seq2Seq-Final
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semanti...
[ -0.0254079420119524, -0.025361746549606323, -0.020123235881328583, 0.06149814650416374, 0.029893940314650536, 0.03333760052919388, -0.01780536025762558, 0.009721451438963413, -0.06405725330114365, 0.0811079815030098, 0.029304224997758865, 0.012304694391787052, 0.006790160201489925, 0.03516...
Dkwkk/Da
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-01T21:25:04Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: CartPole-v1_PG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_r...
[ -0.02844127081334591, 0.017709927633404732, 0.003995956853032112, 0.010468149557709694, 0.0465121753513813, -0.018444648012518883, -0.019114289432764053, -0.01528048887848854, -0.028280386701226234, 0.0826626569032669, 0.0164018664509058, -0.00800886657088995, 0.011768466793000698, 0.02019...
Doiman/DialoGPT-medium-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
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 ...
[ -0.03732075169682503, -0.002359166508540511, -0.005267023574560881, 0.025654401630163193, 0.04553324729204178, -0.021701755002141, -0.005486400797963142, -0.027990754693746567, -0.03321601450443268, 0.06674303114414215, 0.03254831209778786, -0.023448940366506577, 0.02256849780678749, 0.000...
DongHyoungLee/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
27
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Disney-style Dreambooth model trained by jha2ee with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [...
[ -0.029967136681079865, -0.024519681930541992, -0.0315413735806942, 0.04388681426644325, 0.023252759128808975, 0.014784560538828373, 0.0002048084861598909, -0.0005815340555272996, -0.012887159362435341, 0.04291313514113426, 0.015479246154427528, -0.014786258339881897, -0.014022912830114365, ...
Doogie/Waynehills-KE-T5-doogie
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-01T22:12:56Z
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### tfmfurbase Dreambooth model trained by Deitsao with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook (BROKEN because I'm sleepy asf 😭) T...
[ -0.029681354761123657, -0.018135719001293182, -0.017593320459127426, 0.04515395313501358, 0.032911404967308044, 0.030644256621599197, 0.009935753419995308, -0.023670176044106483, -0.019207241013646126, 0.03175654634833336, 0.03988736495375633, -0.002242522081360221, -0.016480928286910057, ...
Waynehillsdev/wav2vec2-base-timit-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
null
--- license: creativeml-openrail-m datasets: - fka/awesome-chatgpt-prompts language: - ee metrics: - cer library_name: diffusers ---
[ -0.021833637729287148, -0.009052925743162632, 0.006163299083709717, -0.005265500862151384, 0.04413582757115364, 0.015487223863601685, -0.006812112405896187, -0.0024625619407743216, -0.006086237728595734, 0.04329279437661171, 0.02851938270032406, 0.011517523787915707, 0.02036639116704464, 0...
Doohae/p_encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
2023-02-01T22:27:01Z
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: distilbert_sa_GLUE_Experiment_data_aug_cola results: - task: name: Text Classification type: text-classification dataset: name: GLUE COLA type: glue...
[ -0.01362815871834755, 0.0024142744950950146, -0.02690977416932583, 0.04970228672027588, 0.07583413273096085, 0.025851372629404068, -0.025326864793896675, -0.022143566980957985, -0.0473424568772316, 0.0649765282869339, 0.03780584782361984, -0.006076752208173275, 0.012742658145725727, 0.0429...
Doohae/q_encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
2023-02-01T22:28:45Z
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: mobilebert_sa_GLUE_Experiment_data_aug_cola_256 results: - task: name: Text Classification type: text-classification dataset: name: GLUE COLA type: ...
[ -0.015468979254364967, -0.0035373778082430363, -0.02392294444143772, 0.044952392578125, 0.060745980590581894, 0.01774383708834648, -0.031130226328969002, -0.02110220119357109, -0.04393560439348221, 0.0576973594725132, 0.03334681689739227, -0.00783156231045723, 0.028179068118333817, 0.03918...
Doohae/roberta
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
null
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: mobilebert_sa_GLUE_Experiment_data_aug_cola_128 results: - task: name: Text Classification type: text-classification dataset: name: GLUE COLA type: ...
[ -0.014673295430839062, -0.003178174141794443, -0.023583319038152695, 0.04483647644519806, 0.060525912791490555, 0.0178823284804821, -0.031924374401569366, -0.021549127995967865, -0.04440760239958763, 0.05737267807126045, 0.033709220588207245, -0.008379735052585602, 0.028741108253598213, 0....
DoyyingFace/bert-COVID-HATE-finetuned-test
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: distilbert_sa_GLUE_Experiment_data_aug_cola_96 results: - task: name: Text Classification type: text-classification dataset: name: GLUE COLA type: g...
[ -0.014370305463671684, 0.0020317158196121454, -0.02764022909104824, 0.05002883821725845, 0.07490051537752151, 0.0246887244284153, -0.02664197050035, -0.022471388801932335, -0.046986453235149384, 0.063982293009758, 0.03535893186926842, -0.0066903322003781796, 0.012754176743328571, 0.0407101...
DoyyingFace/bert-asian-hate-tweets-asian-clean-with-unclean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: mobilebert_sa_GLUE_Experiment_data_aug_cola results: - task: name: Text Classification type: text-classification dataset: name: GLUE COLA type: glue...
[ -0.014052691869437695, -0.0033950619399547577, -0.022988198325037956, 0.045716509222984314, 0.05984269082546234, 0.018021563068032265, -0.03251338377594948, -0.021770022809505463, -0.044686831533908844, 0.058273136615753174, 0.03463380038738251, -0.007261188700795174, 0.028827020898461342, ...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03682786226272583, -0.017038146033883095, -0.016540275886654854, 0.0510595329105854, 0.01117929257452488, 0.04447409510612488, -0.01840854622423649, -0.002739659510552883, -0.070090651512146, 0.08364398777484894, 0.03946809098124504, 0.013144438154995441, 0.00234610796906054, 0.04092745...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy - f1 model-index: - name: distilbert_sa_GLUE_Experiment_data_aug_mrpc_192 results: - task: name: Text Classification type: text-classification dataset: name: GLUE MRPC type: glue ...
[ -0.01498638466000557, -0.0018350741593167186, -0.04189225286245346, 0.054627224802970886, 0.08495185524225235, 0.029255444183945656, -0.012092639692127705, -0.019228655844926834, -0.043390627950429916, 0.06874925643205643, 0.022548986598849297, -0.00790311861783266, 0.010811837390065193, 0...