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
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Akashpb13/xlsr_maltese_wav2vec2
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "mt", "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...
8
2023-04-11T07:06:47Z
--- license: apache-2.0 datasets: - zaemyung/IteraTeR_plus language: - en pipeline_tag: text2text-generation --- # DElIteraTeR-PEGASUS-Multi-Sent-Revision-Generator This model was obtained by fine-tuning [google/pegasus-large](https://huggingface.co/google/pegasus-large) on [IteraTeR+](https://huggingface.co/datasets/...
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Akiva/Joke
[]
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: whisper-large-v2-kangri results: - task: type: automatic-speech-recognition name: Speech Recognition dataset: type: bridgeconn/snow-mountain name: snow-moutain-Kangri config: Kangri spl...
[ -0.03620326891541481, -0.011431853286921978, -0.018603598698973656, 0.05249880626797676, 0.045915424823760986, 0.0024969754740595818, 0.0026717111468315125, -0.0054300022311508656, -0.02701948583126068, 0.07463320344686508, 0.02605091594159603, -0.026382213458418846, 0.024312401190400124, ...
AkshatSurolia/BEiT-FaceMask-Finetuned
[ "pytorch", "beit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "BeitForImageClassification" ], "model_type": "beit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
239
null
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de-fr results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.03577765077352524, -0.015208419412374496, 0.0044944314286112785, 0.029209308326244354, 0.023420415818691254, 0.02139987237751484, -0.01795196160674095, -0.007264743559062481, -0.030092237517237663, 0.045689038932323456, 0.02494043856859207, -0.05179929733276367, 0.0100339874625206, 0.03...
AlbertHSU/BertTEST
[ "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...
8
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-fr results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.fr metrics: - name:...
[ -0.022623412311077118, -0.005572534631937742, 0.002474196022376418, 0.017616335302591324, 0.027849674224853516, 0.02049846388399601, -0.025693118572235107, -0.014355573803186417, -0.017668230459094048, 0.046335477381944656, 0.018574340268969536, -0.04243464022874832, 0.010491183958947659, ...
Aleksandar/bert-srb-base-cased-oscar
[ "pytorch", "bert", "fill-mask", "transformers", "generated_from_trainer", "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
2023-04-11T07:46:23Z
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-all results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment....
[ -0.04215535148978233, -0.00932097714394331, 0.004317494574934244, 0.03273915871977806, 0.022923381999135017, 0.022956615313887596, -0.01640988327562809, -0.003780458588153124, -0.027839111164212227, 0.04786718636751175, 0.027293814346194267, -0.04986466467380524, 0.02076646126806736, 0.035...
Aleksandar/bert-srb-ner
[ "pytorch", "bert", "token-classification", "dataset:wikiann", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: summarization_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> ...
[ -0.008770892396569252, -0.01111289206892252, -0.002169406972825527, 0.03260638192296028, 0.0397847555577755, -0.012586160562932491, -0.030510544776916504, -0.011717533692717552, -0.04434096813201904, 0.05722410976886749, 0.017724037170410156, -0.034012872725725174, 0.003961620386689901, 0....
Aleksandar/electra-srb-ner-setimes
[ "pytorch", "electra", "token-classification", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "ElectraForTokenClassification" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
6
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.04139233008027077, -0.0018244499806314707, -0.007684570737183094, 0.04741508886218071, 0.025515206158161163, 0.021174822002649307, -0.025509215891361237, -0.03275806084275246, -0.0035654273815453053, 0.048735111951828, 0.01907332055270672, -0.013770888559520245, 0.01929967664182186, 0.0...
Aleksandar/electra-srb-ner
[ "pytorch", "safetensors", "electra", "token-classification", "dataset:wikiann", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "ElectraForTokenClassification" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
15
null
--- language: - en license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small English results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name:...
[ -0.03329062834382057, 0.001545111881569028, -0.008315742015838623, 0.04795859754085541, 0.0414498969912529, 0.02244771085679531, -0.0016710254130885005, -0.010037022642791271, -0.022454386577010155, 0.07879229635000229, 0.028172429651021957, -0.038442522287368774, 0.007793489843606949, 0.0...
Aleksandar1932/gpt2-hip-hop
[ "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...
8
null
--- tags: - generated_from_trainer model-index: - name: lora-alpaca-spanish-30b-v0.2 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. --> # lora-alpaca-spanish-30b-v0...
[ -0.042969826608896255, -0.01901470124721527, -0.01966027170419693, 0.06522496789693832, 0.04903237149119377, 0.020271409302949905, 0.004044914618134499, -0.009583204053342342, -0.0226515531539917, 0.06474894285202026, 0.02782757207751274, -0.0377068929374218, -0.008794434368610382, 0.02236...
Alexander-Learn/bert-finetuned-squad-accelerate
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03752754256129265, -0.0031569821294397116, -0.0050208414904773235, 0.02526756562292576, 0.04551474750041962, -0.021618438884615898, -0.0049219271168112755, -0.027972538024187088, -0.0334203876554966, 0.06650863587856293, 0.03239748999476433, -0.02347770892083645, 0.0225560050457716, 0.0...
Alexander-Learn/bert-finetuned-squad
[ "pytorch", "tensorboard", "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...
7
null
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.053899120539426804, 0.0013881034683436155, -0.0033310630824416876, 0.04920560121536255, 0.027093028649687767, 0.028777459636330605, -0.01235754694789648, -0.022587710991501808, 0.001668035052716732, 0.04975954815745354, 0.026727987453341484, -0.012178136967122555, 0.006639487575739622, ...
Alexandru/creative_copilot
[]
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: cc-by-nc-4.0 tags: - generated_from_trainer - instruction fine-tuning model-index: - name: flan-t5-small-distil-v2 results: [] language: - en pipeline_tag: text2text-generation widget: - text: >- how can I become more healthy? example_title: example --- <!-- This model card has been generate...
[ -0.007142037618905306, 0.002485038945451379, 0.012501398101449013, 0.019260194152593613, 0.038635194301605225, -0.015247800387442112, -0.019871708005666733, -0.009728080593049526, -0.009021949023008347, 0.044437482953071594, 0.02205442078411579, -0.038188397884368896, 0.012304163537919521, ...
Alireza1044/albert-base-v2-stsb
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
37
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: layoutlmv3-finetuned-invoice-3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and...
[ -0.02218473330140114, 0.0009449604549445212, -0.01154542900621891, 0.013704090379178524, 0.03200845420360565, 0.01566801220178604, -0.01747998222708702, -0.002366857836022973, -0.02681880071759224, 0.0666470155119896, 0.06694404035806656, -0.032172344624996185, 0.015656594187021255, 0.0270...
AmirServi/MyModel
[]
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
2023-04-11T09:51:37Z
--- license: other --- LLaMA-7B converted to work with Transformers/HuggingFace. This is under a special license, please see the LICENSE file for details. -- license: other --- # LLaMA Model Card ## Model details **Organization developing the model** The FAIR team of Meta AI. **Model date** LLaMA was trained betwee...
[ -0.0216495580971241, -0.0001483581872889772, -0.006690066773444414, 0.03749307990074158, 0.04023768752813339, 0.04080405831336975, -0.007194591220468283, -0.016150016337633133, -0.009234702214598656, 0.047313373535871506, 0.04880605638027191, -0.023999780416488647, 0.013622797094285488, 0....
Amit29/t5-small-finetuned-xsum
[]
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
2023-04-11T09:58:47Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021989285945892334, -0.005592138506472111, 0.010716400109231472, 0.03951995447278023, 0.03271913155913353, 0.015081272460520267, -0.02881707437336445, -0.01615275628864765, -0.015455825254321098, 0.06055028736591339, 0.007205728907138109, 0.0006820716662332416, 0.010530799627304077, 0.0...
AndrewMcDowell/wav2vec2-xls-r-300m-german-de
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "generated_from_trainer", "hf-asr-leaderboard", "mozilla-foundation/common_voice_7_0", "robust-speech-event", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
15
2023-04-11T10:41:28Z
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation --- This model is a diffusion model for unconditional image generation of shoes trained on a custom dataset at 128x128 resolution ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('Apocalypse-19...
[ -0.02104363776743412, -0.0005712787969969213, 0.0013162640389055014, 0.02276781015098095, 0.042379267513751984, 0.022220389917492867, 0.026547882705926895, 0.006828604731708765, -0.012340367771685123, 0.05372721329331398, 0.004143034107983112, -0.008585366420447826, 0.016125544905662537, 0...
AnonymousSub/AR_rule_based_twostagetriplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
5
null
เกมออนไลน์ที่ไม่เล่นไม่ได้เลย LUCKY FUN 789 เพราะมีเกมให้เลือกเล่นมากมาย อาทิ บาคาร่า กีฬา สล็อต ยิงปลา เกมโปรด เกมฮอต ป็อกเด้ง ไฮโล หวย แม้กระทั้งเทรดบิทคอยด์ ที่กำลังเป็นที่นิยมในการลงทุน ณ ปัจจุบัน หากท่านเป็นคนที่มีความสนใจการลงทุนที่ครบจบในเว็ปเดียว ก็ไม่ควรจะพลาดที่จะเป็นสมาชิก แล้วท่านจะได้ประสบการณ์ใหม่ อัพเดตก...
[ -0.007155235856771469, 0.004803321324288845, 0.017719240859150887, 0.021303389221429825, -0.0069450270384550095, 0.01890651509165764, 0.009737514890730381, -0.020299086347222328, -0.05352495610713959, 0.03965257853269577, 0.04178379476070404, -0.00689499918371439, 0.020242959260940552, 0.0...
AnonymousSub/AR_specter
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: mit tags: - generated_from_trainer model-index: - name: gpt-expt-sp-v3-K-600-MA-Mac-actions-kmeans-v4 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
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AnonymousSub/SR_rule_based_only_classfn_twostage_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- language: - he tags: - language model --- ## AlephBertGimmel Modern Hebrew pretrained BERT model with a 128K token vocabulary. [Checkpoint](https://github.com/Dicta-Israel-Center-for-Text-Analysis/alephbertgimmel/tree/main/alephbertgimmel-small/ckpt_29400--Max128Seq) of the alephbertgimmel-small-128 from [aleph...
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AnonymousSub/SR_rule_based_roberta_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-8x8-Slippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8 type: FrozenLake-v1-8x8 metrics: ...
[ -0.02430037036538124, -0.015793824568390846, -0.004574215970933437, 0.02893432043492794, 0.05291825532913208, -0.021195802837610245, -0.004672179464250803, -0.011999479494988918, -0.05770255997776985, 0.05283493176102638, 0.00967954657971859, -0.0035646201577037573, 0.022675160318613052, 0...
AnonymousSub/SR_rule_based_roberta_hier_triplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- language: ja license: cc-by-sa-4.0 library_name: transformers tags: - bert - fill-mask datasets: - wikipedia mask_token: "[MASK]" widget: - text: "京都 大学 で [MASK] を 専攻 する 。" - text: "東京 は 日本 の [MASK] だ 。" - text: "カフェ で [MASK] を 注文 する 。" --- # ku-accms/bert-base-japanese-ssuw ## Model description This i...
[ -0.019245104864239693, -0.01860865205526352, 0.003746520960703492, 0.04070199653506279, 0.035303499549627304, 0.030910873785614967, 0.0027131587266921997, 0.0005613089888356626, -0.04300560802221298, 0.07562249153852463, -0.005044338759034872, -0.013663413003087044, 0.00950907077640295, 0....
AnonymousSub/SR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- language: ja license: cc-by-sa-4.0 library_name: transformers tags: - roberta - fill-mask datasets: - wikipedia - cc100 mask_token: "[MASK]" widget: - text: "京都 大学 で [MASK] を 専攻 する 。" - text: "東京 は 日本 の [MASK] だ 。" - text: "カフェ で [MASK] を 注文 する 。" - text: "[MASK] 名人 が タイトル の 防衛 に 成功 する 。" --- # ku-...
[ -0.021422654390335083, -0.019264567643404007, 0.01096445880830288, 0.03482361510396004, 0.039702076464891434, 0.03115561604499817, -0.0031635663472115993, 0.002706788945943117, -0.047174785286188126, 0.07964647561311722, 0.005169773939996958, -0.01818031817674637, 0.00470090052112937, 0.03...
AnonymousSub/SR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Ninetail Dreambooth model trained by blazers 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 [fas...
[ -0.021650243550539017, -0.003617230337113142, -0.025451119989156723, 0.04479563981294632, 0.025543607771396637, 0.008211479522287846, 0.004312839359045029, -0.0022715323138982058, -0.014431021176278591, 0.033554088324308395, 0.019201433286070824, -0.001818450284190476, -0.019438112154603004,...
AnonymousSub/SR_rule_based_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
null
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-8x8-Slippery-v2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8 type: FrozenLake-v1-8x8 metrics: ...
[ -0.02388630248606205, -0.016505900770425797, -0.004841485060751438, 0.028978852555155754, 0.053486574441194534, -0.02201663888990879, -0.005315850488841534, -0.0129372114315629, -0.0566522516310215, 0.05242840573191643, 0.010286087170243263, -0.002535443287342787, 0.0210329070687294, 0.037...
AnonymousSub/SR_rule_based_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
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 ...
[ -0.03735760971903801, -0.0025659885723143816, -0.005263871513307095, 0.025258762761950493, 0.04577259719371796, -0.021781377494335175, -0.0057574789971113205, -0.027828849852085114, -0.03282225504517555, 0.06650479882955551, 0.03212599456310272, -0.023698778823018074, 0.02315138280391693, ...
AnonymousSub/SR_rule_based_twostagetriplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02357170358300209, -0.005850714631378651, 0.013389643281698227, 0.037390585988759995, 0.03251568600535393, 0.013057928532361984, -0.03112466260790825, -0.014865163713693619, -0.013782262802124023, 0.060712527483701706, 0.007375343702733517, 0.0016731274081394076, 0.01091394666582346, 0....
AnonymousSub/bert_mean_diff_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
Access to model PrathameshPawar/bart_raw is restricted and you are not in the authorized list. Visit https://huggingface.co/PrathameshPawar/bart_raw to ask for access.
[ -0.03219684585928917, 0.012113022617995739, -0.013145881704986095, 0.004909269046038389, 0.042590219527482986, 0.014811908826231956, -0.02714913710951805, 0.01141582615673542, -0.04007039964199066, 0.05692276358604431, 0.03978283330798149, -0.004637839272618294, 0.02264166623353958, 0.0491...
AnonymousSub/cline-emanuals-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
27
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - wnut_17 metrics: - precision - recall - f1 - accuracy model-index: - name: ner results: - task: name: Token Classification type: token-classification dataset: name: wnut_17 type: wnut_17 config: wnut_17 split:...
[ -0.022521642968058586, 0.0059539442881941795, -0.01932736486196518, 0.034097809344530106, 0.045000843703746796, 0.01950070820748806, -0.02262822538614273, -0.022658705711364746, -0.02657581865787506, 0.06329669803380966, 0.039449986070394516, -0.02054721489548683, 0.0036917084362357855, 0....
AnonymousSub/cline-s10-SR
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.0292340237647295, 0.01823023334145546, 0.003660630900412798, 0.009176398627460003, 0.04400138556957245, -0.01899772323668003, -0.021622175350785255, -0.015784479677677155, -0.029898837208747864, 0.0846095085144043, 0.01731882616877556, -0.008446605876088142, 0.017369555309414864, 0.0164...
AnonymousSub/cline-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- tags: - generated_from_trainer datasets: - samsum model-index: - name: pegasus-samsum 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. --> # pegasus-samsum This ...
[ -0.03610852733254433, -0.010344013571739197, -0.008425453677773476, 0.034149620682001114, 0.047108642756938934, 0.020795995369553566, 0.002128967782482505, -0.018381696194410324, -0.04294750466942787, 0.06833694130182266, 0.03254825621843338, -0.014839574694633484, 0.011133426800370216, 0....
AnonymousSub/cline_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007176707033067942, 0.00498211057856679, -0.015790091827511787, 0.016750922426581383, 0.06032556667923927, -0.028048301115632057, 0.006315099075436592, -0.033620428293943405, -0.025915592908859253, 0.06598971784114838, 0.028368623927235603, -0.02848334237933159, -0.0030658768955618143, ...
AnonymousSub/consert-s10-AR
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.0291277002543211, -0.005737067200243473, -0.01765703596174717, 0.051642198115587234, 0.03576432913541794, 0.026249846443533897, -0.0007784360786899924, -0.03456972539424896, -0.02561541460454464, 0.04699410870671272, 0.02668646350502968, -0.009269519709050655, 0.01842530257999897, 0.029...
AnonymousSub/consert-s10-SR
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- license: mit tags: - generated_from_trainer metrics: - rouge model-index: - name: bart-stats-extract 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. --> # bart-s...
[ -0.020684534683823586, -0.012441761791706085, -0.017598018050193787, 0.04538525640964508, 0.02824162133038044, 0.00905950553715229, -0.035678502172231674, -0.021758027374744415, -0.043160345405340195, 0.06110100448131561, 0.022725120186805725, -0.02653919719159603, 0.020675748586654663, 0....
AnonymousSub/declutr-emanuals-s10-SR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
28
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: bert_ai results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove th...
[ -0.012076292186975479, 0.004797154571861029, -0.021604444831609726, 0.039846014231443405, 0.03470052033662796, 0.012535806745290756, -0.018750865012407303, -0.025090573355555534, -0.04663996770977974, 0.053652647882699966, 0.007304865401238203, -0.030813800171017647, 0.022433606907725334, ...
AnonymousSub/declutr-model-emanuals
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
2023-04-11T15:01:48Z
--- 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 ...
[ -0.03732994198799133, -0.003164656925946474, -0.005003408528864384, 0.025803634896874428, 0.04572942480444908, -0.021271051838994026, -0.005226586014032364, -0.0284514669328928, -0.033220771700143814, 0.06652496010065079, 0.03236774727702141, -0.02324950322508812, 0.022981176152825356, 0.0...
AnonymousSub/declutr-model
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
2023-04-11T15:02:33Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.022181415930390358, -0.005173868965357542, 0.010411785915493965, 0.03916144371032715, 0.03192615881562233, 0.015450119972229004, -0.02796194516122341, -0.016005050390958786, -0.01565845124423504, 0.060939349234104156, 0.006783512886613607, 0.0006419876590371132, 0.01051818672567606, 0.0...
AnonymousSub/declutr-roberta-papers
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.0408649705350399, 0.001441915868781507, -0.009208283387124538, 0.04725315794348717, 0.026906108483672142, 0.0217056293040514, -0.028297342360019684, -0.03424077108502388, -0.010487657971680164, 0.051710061728954315, 0.01909460872411728, -0.016915500164031982, 0.01528107188642025, 0.0319...
AnonymousSub/declutr-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: bert_human results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove...
[ -0.007450099103152752, 0.0063988021574914455, -0.029362911358475685, 0.03843064606189728, 0.03283357992768288, 0.015281535685062408, -0.03049067035317421, -0.028202980756759644, -0.03416319191455841, 0.05927877500653267, 0.01662370003759861, -0.03976687788963318, 0.02573995478451252, 0.038...
AnonymousSub/dummy_1
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer model-index: - name: layoutlmv2-base-uncased_finetuned_docvqa 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...
[ -0.02948765829205513, -0.007555095013231039, -0.00812535360455513, 0.03490811213850975, 0.041356053203344345, -0.006012818310409784, -0.010488222353160381, -0.014403631910681725, -0.04097770154476166, 0.041812147945165634, 0.014345994219183922, -0.0345974937081337, 0.0260792076587677, 0.04...
AnonymousSub/hier_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- 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...
[ -0.01526909414678812, -0.017112355679273605, -0.005536974407732487, 0.029419291764497757, 0.051900140941143036, -0.017146224156022072, -0.01261413749307394, -0.008921997621655464, -0.05879732221364975, 0.055659741163253784, -0.0011206187773495913, -0.010489795356988907, 0.0248901154845953, ...
AnonymousSub/roberta-base_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
25
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: spanish-spellchecker-t5-base-wikitest1000 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 remov...
[ -0.014258111827075481, -0.008740768767893314, 0.00027205274091102183, 0.04285770282149315, 0.025274479761719704, 0.013632713817059994, -0.008720813319087029, -0.007778281811624765, -0.051357343792915344, 0.053558073937892914, -0.00983466487377882, -0.03310708329081535, -0.004094783216714859,...
AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
2023-04-11T15:31:19Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.016899921000003815, -0.014822503551840782, -0.005941122304648161, 0.02430274896323681, 0.047952890396118164, -0.0010771609377115965, -0.020662935450673103, 0.006629747338593006, -0.03688472881913185, 0.05416891723871231, 0.01773490011692047, -0.008421570062637329, 0.011839068494737148, ...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.051364194601774216, -0.005907576996833086, 0.015553832054138184, 0.03498569503426552, 0.03166314959526062, -0.008817785419523716, -0.015006537549197674, -0.03618986904621124, -0.03662879765033722, 0.054660435765981674, 0.035131536424160004, 0.003472602693364024, 0.01367624755948782, 0.0...
Ashagi/Ashvx
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-11T20:05:34Z
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # rithwik-db/multiplenegatives-e5-base-unsupervised-500-34358c This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense ve...
[ -0.03843633830547333, -0.021257834509015083, -0.014172311872243881, 0.04689797759056091, 0.012019113637506962, 0.04550778120756149, -0.022136956453323364, -0.006079041864722967, -0.07051526010036469, 0.08397319167852402, 0.03745920956134796, 0.013990557752549648, -0.0008087775786407292, 0....
Atchuth/DialoGPT-small-MBOT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.04024694859981537, -0.017574965953826904, -0.015334118157625198, 0.03722485899925232, 0.04870159924030304, -0.004525383468717337, -0.01323196291923523, -0.024009747430682182, -0.030417580157518387, 0.05349908396601677, 0.022792018949985504, -0.03148831054568291, 0.01815388724207878, 0.0...
Augustvember/wokka5
[ "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
--- 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: 7.46 +/- 2.69 ...
[ -0.027777723968029022, -0.01718389429152012, -0.005110344383865595, 0.024023959413170815, 0.04407483711838722, 0.000008625141163065564, -0.01776365377008915, 0.0020395726896822453, -0.036229923367500305, 0.053409822285175323, 0.015910210087895393, -0.0037802790757268667, 0.018782930448651314...
Augustvember/your-model-name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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...
[ -0.016375277191400528, -0.016791295260190964, -0.004381231963634491, 0.028169797733426094, 0.051130618900060654, -0.01632569171488285, -0.01179236825555563, -0.007841639220714569, -0.05801013112068176, 0.054260849952697754, -0.0009667826816439629, -0.009693693369626999, 0.026626912876963615,...
Axon/resnet34-v1
[ "dataset:ImageNet", "arxiv:1512.03385", "Axon", "Elixir", "license:apache-2.0" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.03767263516783714, -0.0025072635617107153, -0.004053269978612661, 0.02546551451086998, 0.04563602805137634, -0.02120823971927166, -0.005273153539747, -0.028114505112171173, -0.03382621705532074, 0.06684393435716629, 0.03245176374912262, -0.023274770006537437, 0.022732289507985115, 0.000...
Ayato/DialoGTP-large-Yuri
[]
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-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.022300943732261658, -0.006062244530767202, 0.012057432904839516, 0.03803987056016922, 0.03191240504384041, 0.015191785991191864, -0.028579585254192352, -0.016519170254468918, -0.01573995128273964, 0.06098374351859093, 0.006746235769242048, -0.00017585555906407535, 0.009943402372300625, ...
Ayham/albert_distilgpt2_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
9
null
--- language: - de tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: whisper-fine-tuned-de_learn results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: Common V...
[ -0.03398304432630539, -0.011410851031541824, -0.007856828160583973, 0.03729276731610298, 0.042967259883880615, 0.026490285992622375, -0.02159872092306614, -0.005080385599285364, -0.031377583742141724, 0.07317201793193817, 0.0374784953892231, -0.02794087678194046, 0.010538693517446518, 0.02...
Ayham/albert_gpt2_summarization_cnndm
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.05232147499918938, 0.001708281459286809, -0.005390951409935951, 0.049804817885160446, 0.02503969520330429, 0.030548399314284325, -0.010211960412561893, -0.022126277908682823, -0.0014923090348020196, 0.050840601325035095, 0.025968123227357864, -0.013322924263775349, 0.006182641256600618, ...
Ayham/distilbert_gpt2_summarization_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:xsum", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- tags: - generated_from_trainer model-index: - name: finetuned results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # finetuned This model is a fine-tuned version...
[ -0.02657001093029976, -0.004169961903244257, -0.00665545416995883, 0.036711063235998154, 0.035917043685913086, 0.0069033801555633545, -0.014434637501835823, -0.00791512057185173, -0.03638485074043274, 0.04999556019902229, 0.04113374650478363, -0.021793588995933533, 0.002741358010098338, 0....
Ayham/xlmroberta_large_gpt2_summarization_cnndm
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
12
null
## Usage The model can be used directly (without a language model) as follows: ```python import soundfile as sf import torch from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor import argparse def parse_transcription(wav_file): # load pretrained model processor = Wav2Vec2Processor.from_pretrained("addy88...
[ -0.04516475647687912, -0.03785734996199608, -0.027964122593402863, 0.05043298751115799, 0.03772658854722977, 0.033345554023981094, -0.007145734969526529, 0.002097130985930562, -0.04975439980626106, 0.06031312793493271, 0.05540797486901283, -0.026786096394062042, -0.00007533738971687853, 0....
Ayham/xlnet_bert_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- tags: - spacy - token-classification language: - en model-index: - name: en_cardb results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.9584607543 - name: NER Recall type: recall value: 0.9673353909 - nam...
[ 0.005451457109302282, -0.00975461583584547, -0.007501675747334957, 0.017763350158929825, 0.05552855134010315, 0.022174615412950516, -0.021165724843740463, -0.023210633546113968, -0.03951104357838631, 0.05158374831080437, 0.0333029180765152, 0.0031861732713878155, 0.008330442942678928, 0.04...
Ayumi/Jovana
[]
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: - stable-diffusion - anime - aiart --- **This model is trained for 12 characters from Kuma Kuma Kuma Bear (くまクマ熊ベアー) + 5 characters from Saving 80,000 Gold in Another World for My Retirement (老後に備えて異世界で8万枚の金貨を貯めます)** **Why do...
[ -0.02357969991862774, -0.007606212981045246, 0.0011194210965186357, 0.032223451882600784, 0.0545182004570961, 0.02763921394944191, 0.00041285771294496953, -0.015248693525791168, -0.017536001279950142, 0.05880719795823097, 0.016954882070422173, -0.007324910257011652, 0.024173663929104805, 0...
AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad
[ "pytorch", "electra", "question-answering", "transformers", "generated_from_trainer", "autotrain_compatible" ]
question-answering
{ "architectures": [ "ElectraForQuestionAnswering" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
12
null
--- license: mit base_model: CompVis/stable-diffusion-v1-4 ---
[ -0.04796077683568001, -0.015074256807565689, -0.017595581710338593, -0.0004621071566361934, 0.030404407531023026, 0.0068406299687922, 0.018912125378847122, 0.021628540009260178, -0.01915929652750492, 0.029339024797081947, 0.02181466482579708, -0.008255030028522015, 0.05214457958936691, 0.0...
Azaghast/DistilBART-SCP-ParaSummarization
[ "pytorch", "bart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "BartForConditionalGeneration" ], "model_type": "bart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 142, "min_length": 56, "no_repeat_ngr...
8
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # rithwik-db/cleaned-e5-base-unsupervised-16 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can...
[ -0.03560465946793556, -0.020680967718362808, -0.01588558219373226, 0.04729026183485985, 0.009248691610991955, 0.043531615287065506, -0.022131087258458138, -0.005468211602419615, -0.07053768634796143, 0.08411544561386108, 0.03716800734400749, 0.015004520304501057, -0.0008477659430354834, 0....
Azura/data
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Access to model meltano/singer-sdk is restricted and you are not in the authorized list. Visit https://huggingface.co/meltano/singer-sdk to ask for access.
[ -0.07529668509960175, -0.004873532801866531, -0.00794022623449564, 0.024388421326875687, 0.02919597364962101, 0.020301271229982376, -0.006948905996978283, 0.010579620487987995, -0.05082320049405098, 0.06144377961754799, 0.04075625166296959, 0.01375603023916483, 0.029814457520842552, 0.0424...
BSC-LT/roberta-base-bne-capitel-pos
[ "pytorch", "roberta", "token-classification", "es", "dataset:bne", "dataset:capitel", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "capitel", "pos", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
14
null
--- 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...
[ -0.019931966438889503, -0.017261693254113197, -0.00746903195977211, 0.03135014325380325, 0.05148507282137871, -0.01670726016163826, -0.012040737085044384, -0.010986950248479843, -0.0577176995575428, 0.05337277054786682, -0.0011031640460714698, -0.009192010387778282, 0.025477802380919456, 0...
BSC-LT/roberta-base-bne-sqac
[ "pytorch", "roberta", "question-answering", "es", "dataset:BSC-TeMU/SQAC", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "qa", "question answering", "license:apache-2.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
10
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.02260049618780613, -0.01518558245152235, -0.007817582227289677, 0.027188081294298172, 0.047751761972904205, -0.0001143470435636118, -0.01966683566570282, 0.004776264075189829, -0.035398002713918686, 0.05194348096847534, 0.01712021790444851, -0.008179879747331142, 0.012855256907641888, 0...
BSC-LT/roberta-base-bne
[ "pytorch", "roberta", "fill-mask", "es", "dataset:bne", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
594
2023-04-12T01:15:27Z
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # hlyu/distilbert_tasb_14 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 ...
[ -0.03728528320789337, -0.019222021102905273, -0.018662400543689728, 0.051892876625061035, 0.009682860225439072, 0.044696103781461716, -0.018858540803194046, -0.0046877008862793446, -0.0717407763004303, 0.08137184381484985, 0.03607047349214554, 0.015793070197105408, 0.0019607890862971544, 0...
BSC-LT/roberta-large-bne-capitel-ner
[ "pytorch", "roberta", "token-classification", "es", "dataset:bne", "dataset:capitel", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "capitel", "ner", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
5
2023-04-12T01:18:54Z
--- license: mit --- ![](https://user-images.githubusercontent.com/61938694/231021615-38df0a0a-d97e-4f7a-99d9-99952357b4b1.png) ## Paella We are releasing a new Paella model which builds on top of our initial paper https://arxiv.org/abs/2211.07292. Paella is a text-to-image model that works in a quantized latent space ...
[ -0.001793779549188912, -0.03245135024189949, 0.01410466805100441, 0.043538980185985565, 0.047578416764736176, -0.005011356435716152, 0.028802087530493736, 0.02135350927710533, 0.02068881131708622, 0.04596831277012825, 0.028088146820664406, -0.021026035770773888, 0.008875658735632896, 0.046...
BSen/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...
4
2023-04-12T01:24:28Z
--- license: mit tags: - generated_from_trainer datasets: - ricardo-filho/tcm-0.9-no-valor-objeto model-index: - name: bert_base_tcm_0.9_no_valor_objeto results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and comp...
[ -0.008733113296329975, -0.006221808027476072, -0.0043107676319777966, 0.03832215070724487, 0.027900775894522667, 0.020401038229465485, -0.009088084101676941, -0.016428686678409576, -0.03263702243566513, 0.04993787407875061, 0.008274744264781475, -0.04508591443300247, -0.001200434984639287, ...
Babelscape/wikineural-multilingual-ner
[ "pytorch", "tensorboard", "safetensors", "bert", "token-classification", "de", "en", "es", "fr", "it", "nl", "pl", "pt", "ru", "multilingual", "dataset:Babelscape/wikineural", "transformers", "named-entity-recognition", "sequence-tagger-model", "license:cc-by-nc-sa-4.0", "aut...
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...
41,608
2023-04-12T01:29:08Z
--- pipeline_tag: image-classification tags: - art --- Models for [Sketch2Image](https://github.com/GreeneryScenery/Sketch2Image).
[ -0.005050124134868383, -0.006940866820514202, 0.017000287771224976, 0.013264618813991547, 0.05618566647171974, -0.00548756867647171, -0.017058581113815308, 0.02101748064160347, -0.007155443076044321, 0.06936809420585632, 0.026135876774787903, -0.0055323936976492405, -0.022912129759788513, ...
Bagus/wav2vec2-large-xlsr-bahasa-indonesia
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "el", "dataset:common_voice_id_6.1", "transformers", "audio", "speech", "bahasa-indonesia", "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...
12
2023-04-12T01:41:02Z
--- tags: - generated_from_keras_callback model-index: - name: pegasus-large-musicLyrics results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # pegasus-large-musicLyrics T...
[ -0.030768495053052902, -0.01640763133764267, -0.02110983617603779, 0.027726927772164345, 0.037879083305597305, 0.004485935904085636, -0.006009479984641075, -0.021926231682300568, -0.027817999944090843, 0.06181001290678978, 0.03548062592744827, -0.015691250562667847, 0.021571660414338112, 0...
BatuhanYilmaz/distilbert-base-uncased-finetuned-squad-d5716d28
[ "pytorch", "distilbert", "fill-mask", "en", "dataset:squad", "arxiv:1910.01108", "transformers", "question-answering", "license:apache-2.0", "autotrain_compatible" ]
question-answering
{ "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...
18
2023-04-12T02:31:56Z
--- tags: - generated_from_trainer datasets: - wikiann metrics: - precision - recall - f1 - accuracy model-index: - name: bert-base-chinese-wikiann-zh-ner results: - task: name: Token Classification type: token-classification dataset: name: wikiann type: wikiann config: zh sp...
[ -0.02232363075017929, -0.019539516419172287, -0.01695430465042591, 0.04231449216604233, 0.020612386986613274, 0.01971125602722168, -0.01743769645690918, -0.030521543696522713, -0.03745604678988457, 0.055483728647232056, 0.02576242759823799, -0.01418954785913229, 0.018233967944979668, 0.030...
BatuhanYilmaz/marian-finetuned-kde4-en-to-fr
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-12T02:33:28Z
--- 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 ...
[ -0.03843073174357414, -0.018105294555425644, -0.014198780059814453, 0.0371306948363781, 0.048172272741794586, -0.004630477167665958, -0.013743747025728226, -0.023517340421676636, -0.029725998640060425, 0.05309373140335083, 0.02092951349914074, -0.03220409154891968, 0.018226206302642822, 0....
BhanuSama/gpt2-finetuned-xsum
[]
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
2023-04-12T03:24:49Z
--- 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 ...
[ -0.03754458576440811, -0.015438617207109928, -0.017696062102913857, 0.03724576532840729, 0.048685017973184586, -0.00464331079274416, -0.013583376072347164, -0.023704536259174347, -0.03191135451197624, 0.05576421692967415, 0.02216184139251709, -0.03210074082016945, 0.02004617638885975, 0.01...
BigSalmon/FormalBerta
[ "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...
10
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/- 2.78 ...
[ -0.02056879922747612, -0.01641087606549263, -0.006729481741786003, 0.024565646424889565, 0.04463339224457741, 0.00006591605779249221, -0.017487546429038048, 0.007170927245169878, -0.03625895455479622, 0.055216990411281586, 0.017329607158899307, -0.006229981314390898, 0.014063260518014431, ...
BigSalmon/GPTIntro
[]
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
2023-04-12T04:15:00Z
--- license: apache-2.0 inference: false --- **NOTE: This "delta model" cannot be used directly.** Users have to apply it on top of the original LLaMA weights to get actual Vicuna weights. See https://github.com/lm-sys/FastChat#vicuna-weights for instructions. <br> <br> # Vicuna Model Card ## Model details **Mo...
[ -0.029803819954395294, -0.015434031374752522, 0.003688773373141885, 0.02914821170270443, 0.040279287844896317, 0.015772856771945953, 0.00666181230917573, 0.012809240259230137, 0.005031853448599577, 0.04294076934456825, 0.04340023919939995, 0.0009843780426308513, 0.023762209340929985, 0.052...
BigSalmon/GPTNeo350MInformalToFormalLincoln2
[ "pytorch", "gpt_neo", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
8
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: split...
[ -0.00941929966211319, 0.010461227037012577, -0.028157051652669907, 0.03691163659095764, 0.061825647950172424, 0.032389961183071136, -0.022654620930552483, -0.03629191592335701, -0.03336416557431221, 0.05728475749492645, 0.01880115084350109, -0.04539291188120842, 0.034365806728601456, 0.044...
BigSalmon/GPTNeo350MInformalToFormalLincoln4
[ "pytorch", "gpt_neo", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
11
null
--- license: apache-2.0 --- ## convert vicuna-7b to ggml-vicuna-7b-f16 Source : https://huggingface.co/chharlesonfire/vicuna-7b No unnecessary changes Same format No quantization
[ -0.05217297002673149, -0.015037222765386105, 0.00915051531046629, 0.006097674835473299, 0.05773370340466499, -0.004139634780585766, -0.0009546122746542096, 0.02142050489783287, -0.023125428706407547, 0.03472775220870972, 0.04765946790575981, 0.005477322265505791, 0.0157768614590168, 0.0372...
BigSalmon/GPTNeo350MInformalToFormalLincoln6
[ "pytorch", "gpt_neo", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
14
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.020549021661281586, -0.004285713657736778, 0.010564944706857204, 0.03808930888772011, 0.030815815553069115, 0.016193145886063576, -0.0302035603672266, -0.014086372219026089, -0.014605332165956497, 0.06154220923781395, 0.006872590631246567, 0.0014777746982872486, 0.011486531235277653, 0....
BigSalmon/InformalToFormalLincoln14
[ "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...
5
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.009791147895157337, 0.004676326178014278, -0.012137798592448235, 0.01429230347275734, 0.05802372470498085, -0.02647344022989273, 0.007248153910040855, -0.03208039700984955, -0.023691589012742043, 0.06854837387800217, 0.027098659425973892, -0.02813897468149662, -0.001707269810140133, 0.0...
BigSalmon/InformalToFormalLincoln15
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
2023-04-12T04:43:49Z
--- license: mit language: - en pipeline_tag: text-classification tags: - emotion - 20 classes - code - emotions widget: - text: I'm so angry right now. I can't believe he did that to me. example_title: anger - text: I'm feeling disgusted by the smell of this food. example_title: disgust - text: I'm feeling very af...
[ -0.021539516746997833, -0.0007662224816158414, -0.01779475435614586, 0.024981901049613953, 0.06446966528892517, 0.05679914727807045, -0.007985571399331093, -0.00950330588966608, -0.04071160778403282, 0.05286506190896034, -0.00217077718116343, -0.0411248505115509, 0.04993104562163353, 0.035...
BigSalmon/InformalToFormalLincoln17
[ "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...
12
2023-04-12T04:55:39Z
--- license: apache-2.0 --- ## convert ggml-vicuna-7b-f16 to ggml-vicuna-7b-q4_0 Source: https://huggingface.co/chharlesonfire/ggml-vicuna-7b-f16 No unnecessary changes ## Usage: 1. Download llama.cpp from https://github.com/ggerganov/llama.cpp 2. make and run llama.cpp and choose model with ggml-vicuna-7b-q4_0.bi...
[ -0.050295110791921616, 0.0013289324706420302, 0.01258394867181778, 0.012942369095981121, 0.05478342995047569, -0.0032052407041192055, 0.013037312775850296, -0.0031564231030642986, -0.018136482685804367, 0.04156915098428726, 0.05237564444541931, -0.01910591870546341, 0.03028736263513565, 0....
BigSalmon/MrLincoln10
[ "pytorch", "tensorboard", "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...
5
null
Access to model BMILab/TCR-BERT-MLM is restricted and you are not in the authorized list. Visit https://huggingface.co/BMILab/TCR-BERT-MLM to ask for access.
[ -0.0327114500105381, -0.010101083666086197, 0.007034428417682648, 0.027082741260528564, 0.030974123626947403, 0.020993171259760857, -0.006937083788216114, 0.011497944593429565, -0.020846206694841385, 0.036623265594244, 0.04156859964132309, -0.01644640788435936, 0.02181258238852024, 0.04211...
BigSalmon/MrLincoln2
[ "pytorch", "tensorboard", "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...
9
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - superb metrics: - accuracy model-index: - name: wav2vec2-base-finetuned-ks results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
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BigSalmon/MrLincoln7
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.005395950749516487, 0.003868620842695236, -0.01655465178191662, 0.014944273978471756, 0.057684507220983505, -0.029060063883662224, 0.00784270092844963, -0.034926507622003555, -0.028299851343035698, 0.06701906025409698, 0.02490389347076416, -0.027001824229955673, -0.0024834945797920227, ...
BigeS/DialoGPT-small-Rick
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- license: other --- # 聲明 Disclaimer 本資料夾中的模型不是我所製作,版權歸原作者所有(各模型版權詳見 http://www.civitai.com 所示)。我上傳至本資料夾僅爲方便在綫抽取資源,并非盈利。 The models in this folder are not made by me, and the copyright belongs to the original author (see http://www.civitai.com for details on the copyright of each model). I uploaded to this folder o...
[ -0.037679798901081085, -0.021795470267534256, 0.00046087102964520454, 0.018733177334070206, 0.019641684368252754, 0.014244364574551582, -0.0006945619243197143, -0.017411760985851288, -0.04909317195415497, 0.057507921010255814, 0.04224514216184616, -0.014824336394667625, 0.034460559487342834,...
BillelBenoudjit/jplu-wikiann
[ "fr", "dataset:wikiann", "model-index" ]
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: wav2vec2-base-mscd1 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. --> # ...
[ -0.036498211324214935, -0.005572973284870386, -0.012204471975564957, 0.025246676057577133, 0.029465217143297195, 0.013640924356877804, -0.009415555745363235, 0.004332027398049831, -0.03031788393855095, 0.050334177911281586, 0.029166052117943764, -0.024677691981196404, 0.008181197568774223, ...
Bimal/my_bot_model
[ "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: mit --- ### pemhHiS是一个通过岛综合版500页数据+欢乐恶搞+二次元百科词条进行微调后的清华大学ChatGLM-6B模型。 使用LORA进行finetune 示例串 这里[https://www.nmbxd1.com/t/56735335]
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Binbin/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
I want a photo for my youtube channel that has my name in letters and an image of sweet from gta san andreas has to say ADIN MODS the image
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Biniam/en_ti_translate
[ "pytorch", "marian", "text2text-generation", "transformers", "translation", "autotrain_compatible" ]
translation
{ "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...
14
2023-04-12T06:14:42Z
--- license: cc-by-nc-4.0 language: - en pipeline_tag: text-generation widget: - text: >- Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: how can I become more healthy? #...
[ -0.003738622646778822, -0.011627896688878536, 0.004198319278657436, 0.023973509669303894, 0.053346551954746246, -0.01206123735755682, -0.029783159494400024, -0.018825897946953773, -0.012356739491224289, 0.050376683473587036, 0.03454013168811798, -0.024651462212204933, 0.0020505606662482023, ...
BinksSachary/DialoGPT-small-shaxx
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - generated_from_trainer datasets: - wikiann metrics: - precision - recall - f1 - accuracy model-index: - name: bert-base-chinese-wikiann-zh-ner-new results: - task: name: Token Classification type: token-classification dataset: name: wikiann type: wikiann config: zh ...
[ -0.020952390506863594, -0.02152169682085514, -0.017386265099048615, 0.042181339114904404, 0.02365552820265293, 0.021813511848449707, -0.015557287260890007, -0.03141407296061516, -0.033652279525995255, 0.056275732815265656, 0.021532755345106125, -0.014446794986724854, 0.019683215767145157, ...
BinksSachary/ShaxxBot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.02099379152059555, -0.01644522324204445, -0.007277148775756359, 0.025211920961737633, 0.045617979019880295, -0.0006314236670732498, -0.01807151921093464, 0.006477409973740578, -0.0365273542702198, 0.05273082107305527, 0.01552506722509861, -0.006452290341258049, 0.013354668393731117, 0.0...
BinksSachary/ShaxxBot2
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- license: mit tags: - generated_from_trainer datasets: - imagefolder model-index: - name: git-base-pokemon 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. --> # g...
[ -0.028686799108982086, -0.014687413349747658, -0.008576312102377415, 0.023199371993541718, 0.03313744440674782, 0.01454615406692028, 0.014466826803982258, -0.001613327651284635, -0.029841501265764236, 0.0517846904695034, 0.03346078470349312, -0.023424729704856873, 0.01181713491678238, 0.02...
Blabla/Pipipopo
[]
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: cc-by-nc-4.0 language: - en pipeline_tag: text-generation widget: - text: >- Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: how can I become more healthy? #...
[ -0.0010866239899769425, -0.01227160170674324, 0.004976167809218168, 0.02417079731822014, 0.053321123123168945, -0.012004639953374863, -0.031981661915779114, -0.01854446530342102, -0.01373514998704195, 0.05088909715414047, 0.03502247482538223, -0.025036247447133064, 0.0027516093105077744, 0...
Blaine-Mason/hackMIT-finetuned-sst2
[ "pytorch", "tensorboard", "bert", "text-classification", "dataset:glue", "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...
36
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: distilbert-base-uncased-finetuned-sst2 results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: sst2 split: vali...
[ -0.012695567682385445, 0.0059869359247386456, -0.030170699581503868, 0.0433802492916584, 0.07518044859170914, 0.02434593439102173, -0.013954098336398602, -0.026643749326467514, -0.045907601714134216, 0.07032372057437897, 0.008235534653067589, -0.018408052623271942, 0.021655144169926643, 0....
Blazeolmo/Scrabunzi
[]
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
<p>[ดูหนัง] เรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง/เรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง เต็มเรื่อง HD พากย์ไทย THAIวันนี้!.....</p> <p> ทเรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง ดูหนังออนไลน์เต็มเรื่องฟรี HD1080 . เรื่อง Joh...
[ -0.02748838998377323, -0.015032616443932056, -0.009654637426137924, 0.020953580737113953, 0.04593277722597122, 0.037871576845645905, -0.007622317876666784, -0.0030411561019718647, -0.025337187573313713, 0.053885944187641144, 0.02257923036813736, -0.017059843987226486, 0.015816304832696915, ...
BlightZz/DialoGPT-medium-Kurisu
[ "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...
19
2023-04-12T06:34:19Z
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### girlnew1 Dreambooth model trained by Fred99774 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 [f...
[ -0.04432336986064911, -0.01960858702659607, -0.027684876695275307, 0.03804007172584534, 0.03419286012649536, 0.01315402053296566, 0.008629263378679752, 0.0048207975924015045, -0.018835175782442093, 0.0438397154211998, 0.027525486424565315, 0.011553269810974598, -0.01560148037970066, 0.0187...
BlindMan820/Sarcastic-News-Headlines
[ "pytorch", "distilbert", "text-classification", "English", "dataset:Kaggle Dataset", "transformers", "Text", "Sequence-Classification", "Sarcasm", "DistilBert" ]
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, ...
28
null
<p>[ดูหนัง] เรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง/เรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง เต็มเรื่อง HD พากย์ไทย THAIวันนี้!.....</p> <p> ทเรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง ดูหนังออนไลน์เต็มเรื่องฟรี HD1080 . เรื่อง Joh...
[ -0.02748838998377323, -0.015032616443932056, -0.009654637426137924, 0.020953580737113953, 0.04593277722597122, 0.037871576845645905, -0.007622317876666784, -0.0030411561019718647, -0.025337187573313713, 0.053885944187641144, 0.02257923036813736, -0.017059843987226486, 0.015816304832696915, ...
Bman/DialoGPT-medium-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
<p>[ดูหนัง] เรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง/เรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง เต็มเรื่อง HD พากย์ไทย THAIวันนี้!.....</p> <p> ทเรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง ดูหนังออนไลน์เต็มเรื่องฟรี HD1080 . เรื่อง Joh...
[ -0.02748838998377323, -0.015032616443932056, -0.009654637426137924, 0.020953580737113953, 0.04593277722597122, 0.037871576845645905, -0.007622317876666784, -0.0030411561019718647, -0.025337187573313713, 0.053885944187641144, 0.02257923036813736, -0.017059843987226486, 0.015816304832696915, ...
BobBraico/bert-finetuned-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04382696375250816, -0.00210799602791667, 0.010575559921562672, 0.03652000054717064, 0.02529897354543209, -0.011598984710872173, -0.009577600285410881, -0.026390263810753822, -0.03851828724145889, 0.0542631559073925, 0.03623618558049202, 0.0015998199814930558, 0.01937754452228546, 0.0270...
BobBraico/distilbert-base-uncased-finetuned-imdb-accelerate
[]
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
<p>[ดูหนัง] เรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง/เรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง เต็มเรื่อง HD พากย์ไทย THAIวันนี้!.....</p> <p> ทเรื่อง John Wick: Chapter 4 จอห์น วิค 4 : แรงกว่านรก (2023) เต็มเรื่อง ดูหนังออนไลน์เต็มเรื่องฟรี HD1080 . เรื่อง Joh...
[ -0.026343373581767082, -0.014662082307040691, -0.007362316362559795, 0.01961297169327736, 0.04560355469584465, 0.033649735152721405, -0.006332521792501211, -0.0052490695379674435, -0.029174793511629105, 0.052552610635757446, 0.022909026592969894, -0.016893595457077026, 0.014776724390685558, ...
BobBraico/distilbert-base-uncased-finetuned-imdb
[]
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: t5-base-end2end-chatbot-generative 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. --> # ...
[ -0.03292755410075188, -0.004733612295240164, 0.0031870612874627113, 0.03296078369021416, 0.04716119170188904, 0.013395736925303936, -0.02686425670981407, -0.010826467536389828, -0.03932740166783333, 0.044079992920160294, 0.034383755177259445, -0.01338602602481842, 0.005118189379572868, 0.0...
Botjallu/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
2023-04-12T07:06:48Z
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.044089559465646744, -0.003604349447414279, 0.010868815705180168, 0.03754729405045509, 0.02422650344669819, -0.011624905280768871, -0.009854001924395561, -0.02484847418963909, -0.0378682017326355, 0.05342612788081169, 0.03587128221988678, 0.0035152584314346313, 0.018410591408610344, 0.02...
BotterHax/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: openrail pipeline_tag: image-segmentation ---
[ -0.02701822854578495, -0.00922344159334898, -0.010395790450274944, -0.0017340858466923237, 0.0637885332107544, -0.012395115569233894, -0.015361950732767582, 0.03782146796584129, -0.0354580320417881, 0.04618644341826439, 0.019126255065202713, 0.019447501748800278, -0.010259125381708145, 0.0...
Brayan/CNN_Brain_Tumor
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.026236964389681816, -0.005187051836401224, -0.020009277388453484, 0.05267259478569031, 0.04122880846261978, 0.022690564393997192, 0.002556546125560999, -0.03285575658082962, -0.02727709896862507, 0.045601986348629, 0.02685711160302162, -0.01017610915005207, 0.022094406187534332, 0.02831...
Brinah/1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.037303317338228226, -0.003001903183758259, -0.005737035069614649, 0.025876253843307495, 0.04619786888360977, -0.021144237369298935, -0.00553992809727788, -0.027994457632303238, -0.032721392810344696, 0.06637640297412872, 0.03233080357313156, -0.02319915033876896, 0.02312440238893032, 0....