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
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51
438k
embedding
list
DSI/ar_emotion_6
[ "pytorch", "bert", "transformers" ]
null
{ "architectures": [ "BertForMultiLabelSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
1
null
--- license: - apache-2.0 - bsd-3-clause tags: - summarization - summary - booksum - long-document - long-form - tglobal-xl - XL - 8bit - quantized datasets: - kmfoda/booksum metrics: - rouge inference: false pipeline_tag: summarization --- # long-t5-tglobal-xl-16384-book-summary: 8-bit quantized version <a href="ht...
[ -0.01661105640232563, -0.0036656151060014963, -0.004588685464113951, 0.022929532453417778, 0.017910871654748917, -0.013810639269649982, -0.01353328488767147, -0.003347353544086218, -0.050407152622938156, 0.05677201598882675, 0.043421562761068344, -0.0034464115742594004, 0.010514849796891212,...
DTAI-KULeuven/robbertje-1-gb-merged
[ "pytorch", "roberta", "fill-mask", "nl", "dataset:oscar", "dataset:oscar (NL)", "dataset:dbrd", "dataset:lassy-ud", "dataset:europarl-mono", "dataset:conll2002", "arxiv:2101.05716", "transformers", "Dutch", "Flemish", "RoBERTa", "RobBERT", "RobBERTje", "license:mit", "autotrain_c...
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...
1
2023-04-29T16:13:30Z
--- license: openrail datasets: - Locutusque/ColumnedChatCombined language: - en - zh - ru metrics: - bleu - perplexity - loss - reward - penalty widget: - text: "<|USER|> Hello! <|ASSISTANT|> " pipeline_tag: text-generation --- # Model Card ## Model Details - Model Name: gpt2-conversational-or-qa - Model Type: Languag...
[ -0.017553625628352165, -0.004212088417261839, -0.013271397911012173, 0.06266804784536362, 0.043360985815525055, 0.030312709510326385, -0.002324409317225218, -0.005396097432821989, -0.03361452743411064, 0.04426567628979683, 0.03649641200900078, -0.006632072851061821, 0.001866625272668898, 0...
DannyMichael/ECU911
[]
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: - HumanoidStandup-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: HumanoidStandup-v2 type: HumanoidSt...
[ -0.05225469172000885, -0.008463981561362743, -0.007013434078544378, 0.04062700271606445, 0.0490657202899456, 0.003186953952535987, -0.035411980003118515, -0.02686416357755661, -0.03632066026329994, 0.06917614489793777, 0.025585414841771126, -0.012891887687146664, 0.03128748759627342, 0.008...
Darein/Def
[]
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
2023-04-28T01:48:06Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: ec_classfication 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. --> # ec_c...
[ -0.02204000949859619, 0.011634345166385174, -0.010702229104936123, 0.03482871130108833, 0.03706691041588783, 0.01443837396800518, -0.02230720780789852, -0.007394776679575443, -0.04223392531275749, 0.05160548910498619, 0.02474789321422577, -0.03296433016657829, 0.014324712567031384, 0.03649...
Darkrider/covidbert_medmarco
[ "pytorch", "jax", "bert", "text-classification", "arxiv:2010.05987", "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...
35
null
--- language: - ko tags: - text generation - pytorch - causal-lm widget: - text: "B: ์ธ๊ณต์ง€๋Šฅ ์„œ๋ฒ„ ์ „์šฉ ์ธํ„ฐ๋„ท ๋ฐ์ดํ„ฐ์„ผํ„ฐ ๊ฑด๋ฆฝ์„ ์œ„ํ•œ ์‚ฌ์—…๊ณ„ํš์„œ๋ฅผ ์ž‘์„ฑํ•˜๋ผ.\nA:" inference: parameters: max_length: 250 do_sample: False license: apache-2.0 --- # polyglot-12.8B Korean finetuned for instruction following
[ -0.030830834060907364, -0.013104286044836044, 0.016289852559566498, 0.04351319372653961, 0.029674481600522995, 0.015056073665618896, 0.004598142579197884, 0.016742853447794914, -0.040323108434677124, 0.04228585585951805, 0.030904777348041534, -0.019291581586003304, 0.004917667247354984, 0....
DataikuNLP/TinyBERT_General_4L_312D
[ "pytorch", "jax", "bert", "arxiv:1909.10351", "transformers" ]
null
{ "architectures": null, "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
74
2023-04-28T02:02:33Z
--- 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 ...
[ -0.03729972988367081, -0.0029504760168492794, -0.004650650080293417, 0.0258451160043478, 0.0458148717880249, -0.02118212729692459, -0.005696001462638378, -0.027602922171354294, -0.032868240028619766, 0.06648319214582443, 0.03215808793902397, -0.023472309112548828, 0.02308804728090763, 0.00...
DataikuNLP/paraphrase-MiniLM-L6-v2
[ "pytorch", "bert", "arxiv:1908.10084", "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "license:apache-2.0" ]
sentence-similarity
{ "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...
25
2023-04-28T02:04:57Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-synthesized-turkish-8-hour-hlr 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...
[ -0.023193802684545517, -0.0023266966454684734, -0.00793131347745657, 0.03517911210656166, 0.03224119916558266, 0.011489096097648144, 0.0009018797427415848, 0.0052465638145804405, -0.02508254162967205, 0.08122668415307999, 0.0337194949388504, -0.03879536688327789, 0.0002839856024365872, 0.0...
DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2
[ "pytorch", "bert", "arxiv:1908.10084", "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "license:apache-2.0" ]
sentence-similarity
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1,517
2023-04-28T02:05:35Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: whisper-synthesized-turkish-8-hour-llr 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. -->...
[ -0.026552455499768257, -0.00453969044610858, -0.019854899495840073, 0.03533337265253067, 0.034837961196899414, 0.02011420764029026, 0.007703576236963272, -0.0028365859761834145, -0.029419073835015297, 0.08387307822704315, 0.04593772813677788, -0.03504730761051178, 0.0023587842006236315, 0....
Davlan/xlm-roberta-base-finetuned-luo
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
5
2023-04-28T03:21:50Z
--- license: mit language: - en --- ## Instruction-tuned LLaMA (Alpaca-GPT4) Fine-tune [LLaMA-7B](https://huggingface.co/decapoda-research/llama-7b-hf) on the alpaca dataset. The main training scripts are from [stanford-alpaca repo](https://github.com/tatsu-lab/stanford_alpaca), while the data is from [GPT-4-LLM rep...
[ -0.029475511983036995, 0.01060387771576643, 0.01005654875189066, 0.020645475015044212, 0.03171895444393158, 0.004693371709436178, 0.0002505822922103107, -0.008582082577049732, 0.010708077810704708, 0.05594718083739281, 0.026380019262433052, -0.04774283990263939, 0.03750619292259216, 0.0138...
Davlan/xlm-roberta-base-finetuned-yoruba
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
29
2023-04-28T03:35:33Z
3bit quantized version of this: https://huggingface.co/ausboss/llama-30b-supercot GPTQ quantization using https://github.com/0cc4m/GPTQ-for-LLaMa Made at the request of someone that wanted a 3bit version. The file is 17% smaller than 4bit non-groupsize, but the wikitext2 ppl is 12% worse. I don't have a functioning...
[ -0.030377961695194244, -0.017497114837169647, -0.01351589523255825, 0.02579284831881523, 0.03675353527069092, 0.002430734457448125, 0.011285600252449512, 0.01710345968604088, -0.018053606152534485, 0.012793604284524918, 0.020918719470500946, -0.013063888065516949, 0.029698515310883522, 0.0...
Davlan/xlm-roberta-base-sadilar-ner
[ "pytorch", "xlm-roberta", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
12
2023-04-28T03:43:39Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - image_folder metrics: - accuracy model-index: - name: resnet-50-finetuned-imageclds results: - task: name: Image Classification type: image-classification dataset: name: image_folder type: image_folder config: defau...
[ 0.009031680412590504, -0.0069771879352629185, -0.01222018152475357, 0.022519011050462723, 0.03720562160015106, -0.004005179740488529, -0.012349809519946575, -0.0038845937233418226, -0.00987572968006134, 0.040693748742341995, 0.015186459757387638, -0.011853456497192383, 0.01205368060618639, ...
Davlan/xlm-roberta-base-wikiann-ner
[ "pytorch", "tf", "xlm-roberta", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
235
2023-04-28T03:50:17Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016108965501189232, -0.018710635602474213, -0.005518010817468166, 0.030014650896191597, 0.05134271830320358, -0.017046388238668442, -0.010963565669953823, -0.00888023804873228, -0.05818778648972511, 0.05388939380645752, -0.0015089527005329728, -0.008457105606794357, 0.02515958808362484, ...
Davlan/xlm-roberta-large-ner-hrl
[ "pytorch", "tf", "xlm-roberta", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
1,322
2023-04-28T03:51:27Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-small-ar-Noise2 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. -->...
[ -0.026938321068882942, 0.0033263082150369883, -0.0026119344402104616, 0.03567437082529068, 0.04659523814916611, -0.00002281673005199991, 0.00009161584603134543, 0.005356071516871452, -0.034075360745191574, 0.08194620162248611, 0.02287793904542923, -0.02313275635242462, 0.006501084193587303, ...
Declan/CNN_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- 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 ...
[ -0.03767075762152672, -0.002522143768146634, -0.004759353585541248, 0.025629546493291855, 0.04491458088159561, -0.021512819454073906, -0.005148536991328001, -0.02804744988679886, -0.03400127589702606, 0.06643567234277725, 0.0322943814098835, -0.023721134290099144, 0.022627364844083786, 0.0...
Declan/CNN_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - espnet - audio - automatic-speech-recognition language: en datasets: - A license: cc-by-4.0 --- ## ESPnet2 ASR model ### `espnet/jiyang_tang_aphsiabank_english_asr_ebranchformer_small_wavlm_large1` This model was trained by Jiyang Tang using A recipe in [espnet](https://github.com/espnet/espnet/). ### D...
[ -0.05916561186313629, 0.005958035588264465, -0.02375905029475689, 0.019073059782385826, 0.05358313396573067, 0.009658168070018291, 0.012748406268656254, 0.015451793558895588, -0.061242472380399704, 0.05984670668840408, 0.011244860477745533, 0.010143433697521687, -0.009544131346046925, 0.01...
Declan/WallStreetJournal_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: taNER-500-V2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.01477914210408926, 0.013158345595002174, -0.001521244295872748, 0.045779984444379807, 0.03743691369891167, 0.007264659274369478, -0.031055061146616936, -0.03270849585533142, -0.04271513968706131, 0.045655883848667145, 0.0075364625081419945, -0.04849344491958618, 0.008354289457201958, 0....
DeepPavlov/roberta-large-winogrande
[ "pytorch", "roberta", "text-classification", "en", "dataset:winogrande", "arxiv:1907.11692", "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, "...
348
null
--- license: other --- # OpenAssistant LLaMA 30B SFT 7 Due to the license attached to LLaMA models by Meta AI it is not possible to directly distribute LLaMA-based models. Instead we provide XOR weights for the OA models. Thanks to Mick for writing the `xor_codec.py` script which enables this process ## The Process...
[ -0.054454345256090164, -0.0038343979977071285, -0.016992321237921715, 0.00961537566035986, 0.03291625156998634, 0.032816771417856216, 0.0041837748140096664, 0.0008127712062560022, -0.026217523962259293, 0.048619844019412994, 0.04701511934399605, -0.005480076652020216, 0.002296177903190255, ...
DeepPavlov/xlm-roberta-large-en-ru
[ "pytorch", "xlm-roberta", "feature-extraction", "en", "ru", "transformers" ]
feature-extraction
{ "architectures": [ "XLMRobertaModel" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
190
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 instance_prompt: A photo of a sks capsule. tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - Akuxcw/capsule1 These are LoRA adaption weights for runwayml/st...
[ -0.026351436972618103, -0.03169907256960869, -0.028916148468852043, 0.037564292550086975, 0.04562315344810486, -0.00789479911327362, -0.0030926112085580826, -0.00011513864592416212, -0.01952262595295906, 0.05927499383687973, 0.017994649708271027, -0.022597704082727432, -0.023344585672020912,...
DeividasM/wav2vec2-large-xlsr-53-lithuanian
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "lt", "dataset:common_voice", "transformers", "audio", "speech", "xlsr-fine-tuning-week", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
7
null
--- 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 ...
[ -0.037037476897239685, -0.003331525484099984, -0.0051718540489673615, 0.025558557361364365, 0.04562873765826225, -0.020891832187771797, -0.0053503564558923244, -0.02762339450418949, -0.03334018215537071, 0.06671245396137238, 0.03240573778748512, -0.023490160703659058, 0.022443173453211784, ...
DeltaHub/adapter_t5-3b_mrpc
[ "pytorch", "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- license: apache-2.0 datasets: - c-s-ale/alpaca-gpt4-data pipeline_tag: text2text-generation --- This repo provides the training checkpoint of LLaMA on the alpaca_data_gpt4 dataset via LoRA [MLP] on 8xA100(80G). He et al. 2022 gave an insight that FFN can better utilize modification at larger capacities. The cod...
[ -0.03145816549658775, -0.009343202225863934, 0.01263086125254631, 0.04145665839314461, 0.06129530444741249, 0.013448592275381088, -0.0015650055138394237, -0.017372647300362587, -0.011342185549438, 0.05844744294881821, 0.04050297290086746, -0.017523977905511856, 0.014935588464140892, 0.0140...
Denilson/gbert-base-germaner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: ja datasets: - reazon-research/reazonspeech tags: - hubert - speech license: apache-2.0 --- # japanese-hubert-base ![rinna-icon](./rinna.png) This is a Japanese HuBERT (Hidden Unit Bidirectional Encoder Representations from Transformers) model trained by [rinna Co., Ltd.](https://rinna.co.jp/) T...
[ -0.02562429942190647, -0.02695269137620926, -0.024495745077729225, 0.05101423338055611, 0.0240210872143507, 0.05649290606379509, -0.007916204631328583, -0.021992912515997887, -0.0291215218603611, 0.05911810323596001, 0.018947402015328407, -0.01819514110684395, 0.01572887971997261, 0.034115...
Deniskin/emailer_medium_300
[ "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...
14
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: LiLT-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 th...
[ -0.011117411777377129, 0.0019251558696851134, 0.0007271403446793556, 0.02441512607038021, 0.025083966553211212, 0.007886858657002449, -0.025021212175488472, -0.005883499514311552, -0.03991737961769104, 0.06265784054994583, 0.02262404002249241, -0.04319265857338905, 0.01932082511484623, 0.0...
DeskDown/MarianMixFT_en-fil
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain ๐Ÿค—" datasets: - speedppc/autotrain-data-beeline-g-answer-purchase-refi-v4 co2_eq_emissions: emissions: 0.0018883242785470097 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 5360912...
[ -0.015344121493399143, -0.0259080920368433, -0.01188578549772501, 0.03170005977153778, 0.03416353836655617, 0.035181596875190735, -0.02968679368495941, -0.003643300151452422, -0.04754849150776863, 0.07446450740098953, 0.025818485766649246, 0.022559162229299545, -0.0033815535716712475, 0.02...
DeskDown/MarianMixFT_en-id
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- language: - zh - en tags: - chatglm - glm - onnx - onnxruntime --- # ChatGLM-6B + ONNX This model is exported from [ChatGLM-6b](https://huggingface.co/THUDM/chatglm-6b) with int8 quantization and optimized for [ONNXRuntime](https://onnxruntime.ai/) inference. Export code in [this repo](https://github.com/K024/cha...
[ -0.02615070901811123, -0.007100602611899376, 0.014503427781164646, 0.043515995144844055, 0.01749170944094658, 0.0037191167939454317, -0.030515363439917564, -0.015410936437547207, -0.02624528482556343, 0.04561598226428032, 0.023824648931622505, 0.003374280408024788, 0.035901863127946854, 0....
DeskDown/MarianMixFT_en-ja
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: taNER-1k-V2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> ...
[ -0.020833700895309448, 0.005518429912626743, -0.003080841386690736, 0.045885298401117325, 0.034963350743055344, 0.008686053566634655, -0.02225436270236969, -0.027618130668997765, -0.043339405208826065, 0.048337191343307495, 0.002638997742906213, -0.048676420003175735, 0.013641797006130219, ...
DewiBrynJones/wav2vec2-large-xlsr-welsh
[ "cy", "dataset:common_voice", "audio", "automatic-speech-recognition", "speech", "xlsr-fine-tuning-week", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "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
--- title: chinese-alpaca-plus-7b-merged emoji: ๐Ÿ“š colorFrom: gray colorTo: red sdk: gradio sdk_version: 3.23.0 app_file: app.py pinned: false --- ๅŠ ๅ…ฅไธญๆ–‡่ฏ่กจๅนถ็ปง็ปญ้ข„่ฎญ็ปƒไธญๆ–‡Embedding๏ผŒๅพ—ๅˆฐ็š„ไธญๆ–‡LLaMA-plusๆจกๅž‹ใ€‚ ่ฏฆๆƒ…ๅฏๅ‚่€ƒ๏ผšhttps://github.com/ymcui/Chinese-LLaMA-Alpaca/releases/tag/v3.0 ### ไฝฟ็”จๆ–นๆณ•ๅ‚่€ƒ 1. ๅฎ‰่ฃ…ๆจกๅ—ๅŒ… ```bash pip install sentencepiece pip...
[ -0.031164323911070824, -0.021354684606194496, 0.0036351075395941734, 0.06302241235971451, 0.05548308417201042, 0.015743842348456383, -0.011843381449580193, -0.022661829367280006, -0.03127763420343399, 0.057859987020492554, 0.019593866541981697, -0.019720423966646194, 0.027856284752488136, ...
DheerajPranav/Dialo-GPT-Rick-bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/model-cards {} --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base tem...
[ -0.03477105498313904, -0.01037435233592987, 0.00011377478222129866, 0.015253852121531963, 0.02282647229731083, 0.044932618737220764, -0.020595461130142212, -0.026462821289896965, -0.028890972957015038, 0.04969323053956032, 0.022915950044989586, -0.006789288017898798, 0.03135347738862038, 0...
DimaOrekhov/transformer-method-name
[ "pytorch", "encoder-decoder", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
2023-04-28T08:32:21Z
--- tags: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain ๐Ÿค—" datasets: - speedppc/autotrain-data-beeline-human co2_eq_emissions: emissions: 0.29833727886449596 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 53619126277 - CO2 Emissions (in gr...
[ -0.021074829623103142, -0.024196332320570946, -0.009762394241988659, 0.03335598111152649, 0.03725088760256767, 0.03430165722966194, -0.032703083008527756, -0.006554714869707823, -0.038224201649427414, 0.07751615345478058, 0.019387127831578255, 0.02522798255085945, -0.004177421797066927, 0....
Waynehillsdev/Wayne_NLP_mT5
[ "pytorch", "tensorboard", "mt5", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
11
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.0499110110104084, -0.015797976404428482, -0.00837993249297142, 0.03635958209633827, 0.04106627032160759, 0.002789079211652279, -0.021365225315093994, -0.01112729124724865, -0.03741205856204033, 0.05678839236497879, 0.02516287751495838, -0.0029193831142038107, 0.03187553584575653, 0.0026...
Waynehillsdev/Waynehills-STT-doogie-server
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
61
null
--- 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). ...
[ -0.048656363040208817, 0.0021805078722536564, -0.015258758328855038, 0.052913445979356766, 0.030277328565716743, 0.03261108696460724, -0.02138477750122547, -0.02584203891456127, -0.010338960215449333, 0.05381964147090912, 0.01761128380894661, -0.021883541718125343, 0.00029567364254035056, ...
Waynehillsdev/Waynehills_summary_tensorflow
[ "tf", "t5", "text2text-generation", "transformers", "generated_from_keras_callback", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
5
null
--- license: creativeml-openrail-m inference: false --- [Pygmalion 6B model (v3 / experiment 2)](https://huggingface.co/PygmalionAI/pygmalion-6b/tree/2a0d74449c8fbf0378194e95f64aa92e16297294)
[ -0.07263761013746262, -0.03053288906812668, -0.032894328236579895, 0.03391505032777786, 0.028977666050195694, 0.0044820611365139484, -0.025172870606184006, 0.009418416768312454, -0.013059204444289207, 0.037345822900533676, 0.04430890828371048, 0.006738035008311272, 0.011364427395164967, 0....
Doohae/p_encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
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 ...
[ -0.03782014548778534, -0.0029673518147319555, -0.004587111994624138, 0.025306757539510727, 0.045469291508197784, -0.021892579272389412, -0.005396758671849966, -0.02724388800561428, -0.03358810022473335, 0.06616180390119553, 0.03169308602809906, -0.02348070777952671, 0.02285616286098957, 0....
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100
[ "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
2023-04-28T09:20:56Z
--- license: openrail datasets: - OpenAssistant/oasst1 language: - aa - ay metrics: - accuracy library_name: adapter-transformers tags: - chemistry ---
[ -0.06425870954990387, -0.0019818381406366825, -0.014496255666017532, -0.008462202735245228, 0.04752408713102341, 0.016863688826560974, -0.009831301867961884, 0.021573852747678757, -0.06822369992733002, 0.0396420955657959, 0.0182193573564291, 0.047606319189071655, 0.009199187159538269, 0.04...
albert-large-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
687
2023-04-28T09:39:25Z
--- 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 ...
[ -0.039101604372262955, -0.016480345278978348, -0.0155642069876194, 0.03656236454844475, 0.04871675372123718, -0.00553769851103425, -0.014031629078090191, -0.024604227393865585, -0.030621163547039032, 0.05424325913190842, 0.022256987169384956, -0.03136349096894264, 0.01925601251423359, 0.01...
albert-large-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
26,792
2023-04-28T09:40:55Z
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: ultmcntry --- ### country-ultmcntry-v1 Dreambooth model trained by wimvanhenden with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via `...
[ -0.040627967566251755, -0.017067214474081993, -0.018889889121055603, 0.04041790962219238, 0.030163470655679703, 0.022440508008003235, -0.03228457644581795, -0.024615461006760597, -0.030969196930527687, 0.05520631745457649, 0.018152393400669098, 0.0069153266958892345, -0.026167666539549828, ...
albert-xlarge-v2
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
2,973
2023-04-28T09:41:54Z
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: ultmhxphxp --- ### hiphop-ultmhxphxp-v3 Dreambooth model trained by wimvanhenden with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via ...
[ -0.03987995162606239, -0.027242332696914673, -0.025043737143278122, 0.033945318311452866, 0.017806269228458405, 0.02982725389301777, -0.034590333700180054, -0.01626378670334816, -0.014280918054282665, 0.036316581070423126, 0.02646908536553383, 0.007462448440492153, -0.03229096531867981, 0....
albert-xxlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
7,091
2023-04-28T09:42:52Z
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: ultmcntry --- ### country-ultmcntry-v3 Dreambooth model trained by wimvanhenden with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via `...
[ -0.0406169518828392, -0.017484771087765694, -0.020014192909002304, 0.040556225925683975, 0.030349457636475563, 0.023160669952630997, -0.033157072961330414, -0.02497461438179016, -0.03004109486937523, 0.054665643721818924, 0.01847846992313862, 0.007539662066847086, -0.027826454490423203, 0....
albert-xxlarge-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
42,640
2023-04-28T09:43:37Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049823448061943054, -0.01621128059923649, -0.008241095580160618, 0.036220792680978775, 0.04080020636320114, 0.002721998142078519, -0.021025847643613815, -0.010449879802763462, -0.03762565180659294, 0.057616379112005234, 0.024672113358974457, -0.003503624815493822, 0.031710464507341385, ...
bert-base-chinese
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "zh", "arxiv:1810.04805", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3,377,486
2023-04-28T09:47:07Z
--- 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...
[ -0.0142546147108078, -0.01573612354695797, -0.003750079544261098, 0.029873080551624298, 0.05069936066865921, -0.016164368018507957, -0.009901788085699081, -0.008615999482572079, -0.05870474502444267, 0.05312921106815338, 0.0006232975865714252, -0.00855034589767456, 0.022690022364258766, 0....
bert-base-german-dbmdz-uncased
[ "pytorch", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
68,305
2023-04-28T09:50:02Z
--- 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 ...
[ -0.040417611598968506, -0.016164174303412437, -0.015641946345567703, 0.036508675664663315, 0.04835357144474983, -0.005281804595142603, -0.013727938756346703, -0.025004616007208824, -0.030568348243832588, 0.054397229105234146, 0.022767705842852592, -0.03249106556177139, 0.018939225003123283, ...
bert-base-multilingual-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4,749,504
2023-04-28T09:54:40Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: AutoTaxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.54 +/- 2....
[ -0.015437687747180462, -0.013374664820730686, -0.0033951341174542904, 0.023623643442988396, 0.047070130705833435, 0.0027288245037198067, -0.016902176663279533, 0.0076755047775805, -0.037488505244255066, 0.05510594695806503, 0.02285039983689785, -0.005194306839257479, 0.01053968258202076, 0...
bert-large-cased-whole-word-masking
[ "pytorch", "tf", "jax", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2,316
2023-04-28T10:01:26Z
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # MeinaMix API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/12823269741682675994.png) ## Get API Key...
[ -0.03587553650140762, -0.03690870478749275, -0.008049891330301762, 0.017520088702440262, 0.03825274109840393, 0.028418123722076416, -0.01545554306358099, 0.001257102470844984, -0.01905548758804798, 0.06111663207411766, 0.041616041213274, 0.003999205306172371, 0.016162874177098274, 0.046840...
distilbert-base-cased
[ "pytorch", "tf", "onnx", "distilbert", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1910.01108", "transformers", "license:apache-2.0", "has_space" ]
null
{ "architectures": null, "model_type": "distilbert", "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, "n...
574,859
2023-04-28T10:16:41Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter5 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04094358906149864, 0.01535515021532774, 0.01430724561214447, 0.0170576348900795, 0.04904691502451897, -0.012056800536811352, -0.02289612777531147, -0.023342670872807503, -0.017172517254948616, 0.06896469742059708, 0.0356648825109005, -0.006679120939224958, 0.012669061310589314, -0.00671...
distilbert-base-multilingual-cased
[ "pytorch", "tf", "onnx", "safetensors", "distilbert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", ...
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
8,339,633
2023-04-28T10:24:20Z
--- title: chinese-alpaca-plus-7b-merged emoji: ๐Ÿ“š colorFrom: gray colorTo: red sdk: gradio sdk_version: 3.23.0 app_file: app.py pinned: false --- ๅŠ ๅ…ฅไธญๆ–‡่ฏ่กจๅนถ็ปง็ปญ้ข„่ฎญ็ปƒไธญๆ–‡Embedding๏ผŒๅนถๅœจๆญคๅŸบ็ก€ไธŠ็ปง็ปญไฝฟ็”จๆŒ‡ไปคๆ•ฐๆฎ้›†finetuning๏ผŒๅพ—ๅˆฐ็š„ไธญๆ–‡Alpaca-plusๆจกๅž‹ใ€‚ ่ฏฆๆƒ…ๅฏๅ‚่€ƒ๏ผšhttps://github.com/ymcui/Chinese-LLaMA-Alpaca/releases/tag/v3.0 ### ไฝฟ็”จๆ–นๆณ•ๅ‚่€ƒ 1. ๅฎ‰่ฃ…ๆจกๅ—ๅŒ… ```bash pi...
[ -0.018688613548874855, -0.03046010062098503, -0.007603002246469259, 0.06707523763179779, 0.05753600597381592, 0.008415868505835533, -0.01739601045846939, -0.03402094170451164, -0.03122016414999962, 0.05736707150936127, 0.03403336554765701, -0.009392413310706615, 0.005976224783807993, 0.028...
Adi2K/Priv-Consent
[ "pytorch", "bert", "text-classification", "eng", "dataset:Adi2K/autonlp-data-Priv-Consent", "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...
37
null
--- tags: - espnet - audio - automatic-speech-recognition language: en datasets: - A license: cc-by-4.0 --- ## ESPnet2 ASR model ### `espnet/jiyang_tang_aphsiabank_english_asr_ebranchformer_wavlm_aph_en_both` This model was trained by Jiyang Tang using A recipe in [espnet](https://github.com/espnet/espnet/). ### De...
[ -0.05601755529642105, -0.001260235789231956, -0.025708068162202835, 0.02625446207821369, 0.05269188806414604, 0.015557668171823025, 0.010975716635584831, 0.015145199373364449, -0.06470976769924164, 0.05766207352280617, 0.01376239862293005, 0.009578431025147438, -0.008608601987361908, 0.019...
Aidan8756/stephenKingModel
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en tags: - causal-lm - llama license: cc-by-nc-sa-4.0 datasets: - OpenAssistant/oasst1 - nomic-ai/gpt4all_prompt_generations - tatsu-lab/alpaca inference: false --- # StableVicuna-13B-GPTQ This repo contains 4bit GPTQ format quantised models of [CarperAI's StableVicuna 13B](https://hugging...
[ -0.03717763349413872, -0.01653853990137577, 0.008851764723658562, 0.04460448399186134, 0.053490202873945236, 0.010439978912472725, 0.004443554673343897, -0.028302643448114395, -0.028967751190066338, 0.05048034340143204, 0.03519810736179352, -0.013318244367837906, 0.0009650845895521343, 0.0...
AidenGO/KDXF_Bert4MaskedLM
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilgpt2-finetuned-dialogue 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. --> # disti...
[ -0.025565089657902718, -0.0032952327746897936, -0.019547726958990097, 0.027834633365273476, 0.052721936255693436, 0.014174601063132286, -0.01040448248386383, -0.008255678229033947, -0.03857991844415665, 0.06382352858781815, 0.024394454434514046, -0.030160492286086082, 0.007121685892343521, ...
Akash7897/distilbert-base-uncased-finetuned-sst2
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: toki-pona 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. --> # toki-pona This model is ...
[ -0.03209349885582924, -0.02751431241631508, 0.001302559394389391, 0.029696695506572723, 0.03341030701994896, -0.0052048880606889725, 0.0022132927551865578, 0.0008459947421215475, -0.040340960025787354, 0.06354408711194992, 0.027522357180714607, -0.02316645160317421, 0.007862421683967113, 0...
Akash7897/my-newtokenizer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer model-index: - name: arwiki_mlm results: [] metrics: - perplexity license: mit datasets: - SaiedAlshahrani/Arabic_Wikipedia_20230101 language: - ar library_name: transformers pipeline_tag: fill-mask widget: - text: ุงู„ู‡ุฏู ู…ู† ุงู„ุญูŠุงุฉ ู‡ูˆ <mask> --- <!-- This model card has been genera...
[ -0.022692175582051277, -0.010289513505995274, -0.005948531441390514, 0.045545920729637146, 0.02616618014872074, 0.012802775017917156, -0.013916954398155212, 0.0025744535960257053, -0.024589726701378822, 0.05666276067495346, 0.027045894414186478, -0.02677624300122261, 0.0005824912805110216, ...
Akashamba/distilbert-base-uncased-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
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.de split: validatio...
[ -0.025283044204115868, -0.0029325783252716064, 0.006424751598387957, 0.019307535141706467, 0.029805239289999008, 0.025841135531663895, -0.02373199351131916, -0.01110430620610714, -0.02346688136458397, 0.05108080059289932, 0.02091279812157154, -0.04258072003722191, 0.009775154292583466, 0.0...
Aklily/Lilys
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer model-index: - name: AutomotiveBert 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. --> # AutomotiveBert This model was trained f...
[ -0.03098045289516449, 0.00015489953511860222, -0.035936735570430756, 0.038510240614414215, 0.028728092089295387, 0.03700675442814827, -0.005618915893137455, -0.01193687692284584, -0.027277735993266106, 0.057366229593753815, 0.04771197587251663, -0.016239212825894356, 0.013876568526029587, ...
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: apache-2.0 tags: - classification - generated_from_trainer datasets: - tweet_eval metrics: - accuracy model-index: - name: clasificador-tweet-sentiment results: - task: name: Text Classification type: text-classification dataset: name: tweet_eval type: tweet_eval confi...
[ 0.0005205189809203148, -0.020849600434303284, -0.023568889126181602, 0.04843519255518913, 0.062166325747966766, 0.030037682503461838, -0.018975282087922096, -0.016319839283823967, -0.05262160673737526, 0.03599902614951134, 0.011729628778994083, -0.018933063372969627, 0.011636716313660145, ...
AkshatSurolia/ViT-FaceMask-Finetuned
[ "pytorch", "safetensors", "vit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "ViTForImageClassification" ], "model_type": "vit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
40
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: pythia-1b-deduped-chatml 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...
[ -0.03260185569524765, -0.007389800623059273, -0.011843401938676834, 0.034033454954624176, 0.04346875846385956, 0.014304435811936855, -0.014154271222651005, 0.003117193700745702, -0.04717857018113136, 0.052772436290979385, 0.0073283975943923, -0.018017562106251717, 0.009314642287790775, 0.0...
AkshayDev/BERT_Fine_Tuning
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.04552469775080681, -0.0009395588422194123, -0.021508868783712387, 0.03214371204376221, 0.04387802258133888, 0.018002627417445183, -0.018133610486984253, -0.030854102224111557, -0.037502650171518326, 0.06902186572551727, 0.022149793803691864, 0.0028477951418608427, 0.015354679897427559, ...
AkshaySg/langid
[ "multilingual", "dataset:VoxLingua107", "speechbrain", "audio-classification", "embeddings", "Language", "Identification", "pytorch", "ECAPA-TDNN", "TDNN", "VoxLingua107", "license:apache-2.0" ]
audio-classification
{ "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...
2
null
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/model-cards {} --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base tem...
[ -0.03477105498313904, -0.01037435233592987, 0.00011377478222129866, 0.015253852121531963, 0.02282647229731083, 0.044932618737220764, -0.020595461130142212, -0.026462821289896965, -0.028890972957015038, 0.04969323053956032, 0.022915950044989586, -0.006789288017898798, 0.03135347738862038, 0...
Akuva2001/SocialGraph
[ "has_space" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: device_c_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. --> # device_c_2 This model i...
[ -0.027091896161437035, 0.0042505403980612755, -0.004992906469851732, 0.027708014473319054, 0.025353435426950455, -0.0003495495184324682, -0.01181197352707386, -0.003451608819887042, -0.039396192878484726, 0.053274936974048615, 0.00926660094410181, -0.03117004595696926, 0.0076613579876720905,...
AlbertHSU/ChineseFoodBert
[ "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...
15
null
--- license: mit tags: - generated_from_trainer model-index: - name: biogpt-healthcare-tuned 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. --> # biogpt-healthcare-...
[ -0.012759260833263397, -0.016989734023809433, 0.004905308596789837, 0.016878517344594002, 0.02152302674949169, 0.024732403457164764, -0.01126765925437212, 0.002086364896968007, -0.02623184770345688, 0.0515848770737648, 0.026161303743720055, -0.025666436180472374, 0.034090954810380936, 0.04...
Ale/Alen
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - 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...
[ -0.009533848613500595, 0.010303255170583725, -0.028384899720549583, 0.03629682585597038, 0.06161501258611679, 0.03249046951532364, -0.02297944203019142, -0.03624232858419418, -0.03323487564921379, 0.05720394849777222, 0.018629737198352814, -0.04546188935637474, 0.03459779918193817, 0.04509...
Aleenbo/Arcane
[]
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 peese2005/UTD is restricted and you are not in the authorized list. Visit https://huggingface.co/peese2005/UTD to ask for access.
[ -0.02768978849053383, 0.02136332169175148, 0.008268112316727638, 0.0000813347942312248, 0.0404694601893425, 0.0018927077762782574, -0.0023391630966216326, 0.0003772448399104178, -0.04694738984107971, 0.05451250448822975, 0.011650409549474716, 0.006611288990825415, 0.009625126607716084, 0.0...
Aleksandar/distilbert-srb-base-cased-oscar
[ "pytorch", "distilbert", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
4
null
--- license: bsd tags: - chemistry - biology - protein - antibodies - antibody - heavy chain - AbLang - CDR - OAS --- ### AbLang model for heavy chains This is a ๐Ÿค— version of AbLang: A language model for antibodies. It was introduced in [this paper](https://doi.org/10.1101/2022.01.20.477061) and first released in [t...
[ -0.026253167539834976, -0.037332795560359955, -0.006273151841014624, 0.0498795323073864, 0.04905841127038002, 0.024480342864990234, 0.005800497252494097, -0.021608784794807434, -0.02454770915210247, 0.04931453615427017, 0.009588516317307949, 0.04174648970365524, -0.012180735357105732, 0.06...
Aleksandar1932/gpt2-spanish-classics
[ "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...
9
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 ...
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Aleksandra/herbert-base-cased-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "generated_from_trainer", "license:cc-by-4.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8
null
--- license: mit --- ### banana-haai on Stable Diffusion This is the `<banana-photo>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ip...
[ -0.033730410039424896, -0.0185797531157732, -0.024116456508636475, 0.039436668157577515, 0.015130301006138325, 0.010592278093099594, 0.0034533566795289516, -0.008241163566708565, -0.03249765560030937, 0.036347921937704086, 0.010573891922831535, -0.00912430789321661, 0.03850268945097923, 0....
adorkin/xlm-roberta-en-ru-emoji
[ "pytorch", "safetensors", "xlm-roberta", "text-classification", "en", "ru", "dataset:tweet_eval", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- license: bsd tags: - chemistry - biology - protein - antibodies - antibody - light chain - AbLang - CDR - OAS --- ### AbLang model for light chains This is a ๐Ÿค— version of AbLang: A language model for antibodies. It was introduced in [this paper](https://doi.org/10.1101/2022.01.20.477061) and first released in [t...
[ -0.026426609605550766, -0.03886865824460983, -0.005577392876148224, 0.04811536893248558, 0.04639123007655144, 0.024684224277734756, 0.007408350706100464, -0.019367823377251625, -0.026924602687358856, 0.049915045499801636, 0.014208972454071045, 0.03816249594092369, -0.02134687826037407, 0.0...
Alerosae/SocratesGPT-2
[ "pytorch", "gpt2", "feature-extraction", "en", "transformers", "text-generation" ]
text-generation
{ "architectures": [ "GPT2Model" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
7
null
--- license: apache-2.0 library_name: diffusers tags: - jax-diffusers-event - controlnet - stable-diffusion pipeline_tag: image-to-image --- This model is a ControlNet model using MediaPipe hand landmarks for control.
[ -0.030194086953997612, 0.016886496916413307, 0.01098348293453455, 0.012554374523460865, 0.02018495835363865, 0.006500416435301304, 0.011760368011891842, 0.0111152408644557, -0.010506573133170605, 0.04406262934207916, 0.021461758762598038, 0.0008711141999810934, 0.03344835340976715, 0.03680...
AmazonScience/qanlu
[ "pytorch", "roberta", "question-answering", "en", "dataset:atis", "transformers", "license:cc-by-4.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
494
null
--- tags: - espnet - audio - text-to-speech language: zh datasets: - aishell3 license: cc-by-4.0 --- ## ESPnet2 TTS model This model was trained by winniech using aishell3 recipe in [espnet](https://github.com/espnet/espnet/). ## TTS config ``` config: conf/train.yaml print_config: false log_level: INFO dry_run: f...
[ -0.04303406551480293, -0.012126690708100796, -0.017170878127217293, 0.02952791191637516, 0.05156085640192032, 0.012549561448395252, -0.0003039419825654477, 0.013041716068983078, -0.0403708890080452, 0.03894324600696564, -0.007630632258951664, -0.014645013026893139, 0.01181171927601099, 0.0...
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
null
--- license: creativeml-openrail-m library_name: diffusers pipeline_tag: text-to-image ---
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AndrewMcDowell/wav2vec2-xls-r-300m-arabic
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "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...
4
null
# Kohya's GUI This repository provides a Windows-focused Gradio GUI for [Kohya's Stable Diffusion trainers](https://github.com/kohya-ss/sd-scripts). The GUI allows you to set the training parameters and generate and run the required CLI commands to train the model. If you run on Linux and would like to use the GUI, t...
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Anonymous/ReasonBERT-RoBERTa
[ "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...
5
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # ttkSuperSpirit2 API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/20373762831682752577.png) ## Get ...
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AnonymousSub/AR_rule_based_roberta_hier_triplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad_modified_for_t5_qg model-index: - name: t5-end2end-questions-generation results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it,...
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AnonymousSub/AR_rule_based_roberta_only_classfn_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-11 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complet...
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AnonymousSub/AR_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...
2
null
Access to model Tian03/chilloutmix is restricted and you are not in the authorized list. Visit https://huggingface.co/Tian03/chilloutmix to ask for access.
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AnonymousSub/AR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
Access to model ZhangAo/VPGTrans is restricted and you are not in the authorized list. Visit https://huggingface.co/ZhangAo/VPGTrans to ask for access.
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AnonymousSub/AR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
BART MODEL #4 PRETRAINED ON XSUM AND FINETUNED ON SAMSUM
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AnonymousSub/AR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- 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). ...
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AnonymousSub/AR_rule_based_roberta_twostagetriplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: mit tags: - generated_from_trainer model-index: - name: 20230429-001-baseline-mbart-no-qa-ft-clickbait-spoiling results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this co...
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AnonymousSub/AR_rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- tags: - generated_from_keras_callback model-index: - name: Bert_1.5e_07 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. --> # Bert_1.5e_07 This model is a fine-tuned ...
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AnonymousSub/EManuals_RoBERTa_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- tags: - autotrain - token-classification language: - unk widget: - text: "I love AutoTrain ๐Ÿค—" datasets: - tinyYhorm/autotrain-data-1-xlmr-rs co2_eq_emissions: emissions: 1.5970322869917484 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 53879126771 - CO2 Emissions (in grams): ...
[ -0.02773158997297287, -0.023197676986455917, -0.0045067258179187775, 0.03170151636004448, 0.042503539472818375, 0.028282521292567253, -0.03324589133262634, -0.011704311706125736, -0.04432835429906845, 0.08244415372610092, 0.021267352625727654, 0.01782803423702717, -0.0029534169007092714, 0...
AnonymousSub/SDR_HF_model_base
[ "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
--- tags: - autotrain - token-classification language: - unk widget: - text: "I love AutoTrain ๐Ÿค—" datasets: - tinyYhorm/autotrain-data-2-xlmr-r co2_eq_emissions: emissions: 1.191588461069133 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 53880126783 - CO2 Emissions (in grams): 1....
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AnonymousSub/SR_EManuals-BERT
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: creativeml-openrail-m tags: - legal - art --- # Bod obnovy โ€“ CELร FILM ONLINE ZDARMA CZ/SK DABING Sleduj Bod obnovy (2023) โ€“ Celรฝ Film CZ Dabing HD Kvalite | Sleduj Filmy Online, Bod obnovy (2023) โ€“ Online Titulky Filmu Dabing CZ, Bod obnovy (2023) โ€“ Sleduj Filmy Online CZ Dabing HD Kvalite, [Bombuj-HD] B...
[ 0.018046004697680473, -0.020795509219169617, -0.014144133776426315, 0.04999381676316261, 0.054797109216451645, 0.030588198453187943, -0.021563392132520676, 0.009754754602909088, -0.037487078458070755, 0.05327524244785309, 0.033931512385606766, -0.015483815222978592, 0.008534559980034828, 0...
AnonymousSub/SR_cline
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
4-bit quantized weights (q4_0) of StableLM's 7B Tuned Alpha model for use with gptneox.cpp (fork of llama.cpp) https://github.com/byroneverson/gptneox.cpp The weights bin file should be placed in the models/pythia subdirectory of gptneox.cpp in order to use the chat scripts. This is a ggjt version of the model, the t...
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AnonymousSub/SR_consert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
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AnonymousSub/SR_rule_based_roberta_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: apache-2.0 datasets: - LinhDuong/chatdoctor-200k language: - en pipeline_tag: text-generation tags: - medical - doctor - chat - qa - question-answering thumbnail: https://huggingface.co/Narrativaai/BioGPT-Large-finetuned-chatdoctor/resolve/main/cdl.png --- <div style="text-align:center;width:250px;heigh...
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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
--- tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: modelBeto6 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> ...
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AnonymousSub/SR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: ppo results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
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AnonymousSub/SR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- license: apache-2.0 datasets: - lambdalabs/pokemon-blip-captions language: - en --- This is the highly optimized version of the [Stable Diffusion model for pokemon generation](https://huggingface.co/svjack/Stable-Diffusion-Pokemon-en). The model was optimized with a combination of two methods: * Quantization-awar...
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AnonymousSub/SR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- license: cc-by-4.0 tags: - generated_from_trainer model-index: - name: roberta-finetuned-subjqa-movies_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. --> # ro...
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AnonymousSub/SR_rule_based_roberta_twostagetriplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # API Inference ![generated from stablediffusionapi.com](https://d1okzptojspljx.cloudfront.net/generations/8589140601669473451.png) ## Get API Key Get API key from [Sta...
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AnonymousSub/SR_rule_based_roberta_twostagetriplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-04-29T10:10:04Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04982968419790268, -0.015904035419225693, -0.008857672102749348, 0.0362609401345253, 0.04113117232918739, 0.0029824518132954836, -0.021431507542729378, -0.010561523027718067, -0.03768940642476082, 0.05694179981946945, 0.02480352111160755, -0.003149498952552676, 0.03140420466661453, 0.00...
AnonymousSub/SciFive_pubmedqa_question_generation
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
7
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...
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AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
Access to model pvduy/vicuna-13b-v1.1-rm-formated is restricted and you are not in the authorized list. Visit https://huggingface.co/pvduy/vicuna-13b-v1.1-rm-formated to ask for access.
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AnonymousSub/bert_snips
[ "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
--- 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...
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AnonymousSub/cline-emanuals-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
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
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AnonymousSub/cline-emanuals-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: mit datasets: - cc100 language: - en pipeline_tag: text-generation --- # GPT-2 Medium Multi-Exit Pre-trained language model with identical parameters to [gpt2-medium](https://huggingface.co/gpt2-medium), but with additional language modeling heads ("exits") connected to different layers of the model. The...
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AnonymousSub/cline-papers-roberta-0.585
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "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_n...
1
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
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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: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.67 ...
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AnonymousSub/cline
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "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_n...
2
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...
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AnonymousSub/consert-techqa
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
4
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: axi-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 ...
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AnonymousSub/rule_based_hier_quadruplet_0.1_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
Tagger for [Automatic1111's WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) --- Interrogate booru style tags for single or multiple image files using various models, such as DeepDanbooru. [ํ•œ๊ตญ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์‹œ๋‚˜์š”? ์—ฌ๊ธฐ์— ํ•œ๊ตญ์–ด ์„ค๋ช…์„œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค!](README.ko.md) ## Disclaimer I didn't make any models, and most of the code was h...
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AnonymousSub/rule_based_hier_quadruplet_0.1_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
4
null
--- license: gpl-2.0 datasets: - kabachuha/atsiftu-dialogue language: - en library_name: transformers pipeline_tag: text-generation tags: - art - writing - dialogue - script - storytelling - fantasy --- This is a LoRA trained on AtS/IftU dialogue with the base of https://huggingface.co/TheBloke/wizardLM-7B-HF for text...
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AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: other inference: false --- # OpenAssistant LLaMA 30B SFT 7 GPTQ This in a repo of GPTQ format 4bit quantised models for [OpenAssistant's LLaMA 30B SFT 7](https://huggingface.co/OpenAssistant/oasst-sft-7-llama-30b-xor). It is the result of merging the XORs from the above repo with the original Llama 30B ...
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