modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
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: ์ธ๊ณต์ง๋ฅ ์๋ฒ ์ ์ฉ ์ธํฐ๋ท ๋ฐ์ดํฐ์ผํฐ ๊ฑด๋ฆฝ์ ์ํ ์ฌ์
๊ณํ์๋ฅผ ์์ฑํ๋ผ.\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

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 ๐ค"
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: ๐
colorFrom: gray
colorTo: red
sdk: gradio
sdk_version: 3.23.0
app_file: app.py
pinned: false
---
ๅ ๅ
ฅไธญๆ่ฏ่กจๅนถ็ปง็ปญ้ข่ฎญ็ปไธญๆEmbedding๏ผๅพๅฐ็ไธญๆLLaMA-plusๆจกๅใ
่ฏฆๆ
ๅฏๅ่๏ผhttps://github.com/ymcui/Chinese-LLaMA-Alpaca/releases/tag/v3.0
### ไฝฟ็จๆนๆณๅ่
1. ๅฎ่ฃ
ๆจกๅๅ
```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 ๐ค"
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

## 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: ๐
colorFrom: gray
colorTo: red
sdk: gradio
sdk_version: 3.23.0
app_file: app.py
pinned: false
---
ๅ ๅ
ฅไธญๆ่ฏ่กจๅนถ็ปง็ปญ้ข่ฎญ็ปไธญๆEmbedding๏ผๅนถๅจๆญคๅบ็กไธ็ปง็ปญไฝฟ็จๆไปคๆฐๆฎ้finetuning๏ผๅพๅฐ็ไธญๆAlpaca-plusๆจกๅใ
่ฏฆๆ
ๅฏๅ่๏ผhttps://github.com/ymcui/Chinese-LLaMA-Alpaca/releases/tag/v3.0
### ไฝฟ็จๆนๆณๅ่
1. ๅฎ่ฃ
ๆจกๅๅ
```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: ุงููุฏู ู
ู ุงูุญูุงุฉ ูู <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 ๐ค 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
... | [
-0.039329223334789276,
-0.014249793253839016,
-0.015042142942547798,
0.03630071133375168,
0.04894474148750305,
-0.005060428753495216,
-0.014720668084919453,
-0.025579174980521202,
-0.0299454964697361,
0.05422888696193695,
0.023577457293868065,
-0.031626977026462555,
0.01696155034005642,
0.... |
Aleksandra/herbert-base-cased-finetuned-squad | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:cc-by-4.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 8 | null | ---
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 ๐ค 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
--- | [
-0.01327106449753046,
-0.011032186448574066,
-0.012985126115381718,
0.006393373478204012,
0.05487243831157684,
0.006083602551370859,
-0.00997853558510542,
0.0044219340197741985,
-0.012389677576720715,
0.03527103364467621,
0.019141927361488342,
0.01338594127446413,
0.013454499654471874,
0.0... |
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... | [
-0.040960654616355896,
-0.007513135205954313,
0.002233629347756505,
0.007009661290794611,
0.055417951196432114,
0.017607538029551506,
-0.0010028239339590073,
0.004747611470520496,
-0.03509805351495743,
0.05493118613958359,
0.010125814005732536,
0.0007289881468750536,
0.03027358651161194,
0... |
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

## Get ... | [
-0.03509804606437683,
-0.04013306275010109,
-0.01694803312420845,
0.005845034960657358,
0.05356241762638092,
0.016096170991659164,
-0.019955527037382126,
0.008810543455183506,
-0.010649002157151699,
0.050031617283821106,
0.032574690878391266,
0.008698037825524807,
0.013002551160752773,
0.0... |
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,... | [
-0.0013254474615678191,
-0.005022475495934486,
0.0016939734341576695,
0.03569604083895683,
0.03983604535460472,
0.0007092288578860462,
-0.026821043342351913,
0.0056142862886190414,
-0.040411338210105896,
0.025341395288705826,
0.014584336429834366,
-0.017196975648403168,
-0.002001276006922126... |
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... | [
-0.017033545300364494,
0.003841924015432596,
-0.03347383439540863,
0.05290055647492409,
0.05052680894732475,
0.008156698197126389,
-0.03562171757221222,
-0.023313451558351517,
-0.04589301347732544,
0.0626172125339508,
0.01110719982534647,
-0.025889836251735687,
0.02085258811712265,
0.03997... |
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. | [
-0.05478927865624428,
-0.01167499553412199,
-0.001052411156706512,
0.03147002309560776,
0.039085984230041504,
0.018797943368554115,
-0.014428345486521721,
0.014294575899839401,
-0.03386784344911575,
0.05117104575037956,
0.04328753426671028,
0.014421672560274601,
0.02365911938250065,
0.0411... |
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. | [
-0.06546469032764435,
-0.0018128306837752461,
0.009809313341975212,
0.002161134732887149,
0.0422285720705986,
-0.006964136380702257,
0.02649759128689766,
0.01615890860557556,
-0.04347310587763786,
0.03888317942619324,
0.04441624507308006,
0.007787676528096199,
0.029472805559635162,
0.04920... |
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 | [
-0.040800292044878006,
-0.0007882382487878203,
-0.012294590473175049,
0.037094417959451675,
0.015596616081893444,
0.05720014125108719,
-0.02831444703042507,
0.010852234438061714,
-0.04242106154561043,
0.04114728420972824,
0.03551226109266281,
-0.02427256852388382,
0.03770517185330391,
0.03... |
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).
... | [
-0.050780508667230606,
0.0028628045693039894,
-0.004785109777003527,
0.04967835173010826,
0.025262780487537384,
0.032014068216085434,
-0.010584414005279541,
-0.023162391036748886,
-0.002440414624288678,
0.05183088406920433,
0.02682032249867916,
-0.013580207712948322,
0.007509081624448299,
... |
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... | [
-0.04111633822321892,
0.001092968974262476,
0.0038439370691776276,
0.043463390320539474,
0.02919428050518036,
0.005303006619215012,
-0.020238585770130157,
-0.017967160791158676,
-0.0368630476295948,
0.0496029332280159,
0.03170771896839142,
-0.03065684251487255,
0.031855259090662,
0.0421394... |
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 ... | [
-0.019512951374053955,
-0.0062433527782559395,
0.004908496048301458,
0.039192598313093185,
0.021583855152130127,
0.011793158948421478,
-0.027068575844168663,
-0.026505224406719208,
-0.03785016015172005,
0.04476574808359146,
0.016702700406312943,
-0.026077209040522575,
0.01910899020731449,
... |
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 ๐ค"
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 ๐ค"
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.... | [
-0.02836688794195652,
-0.02372094988822937,
-0.004043488763272762,
0.0315365232527256,
0.04391712695360184,
0.028466394171118736,
-0.032939642667770386,
-0.012645849026739597,
-0.043100662529468536,
0.08042396605014801,
0.0220861304551363,
0.016966504976153374,
-0.0038127002771943808,
0.03... |
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... | [
-0.058470070362091064,
0.0074045173823833466,
0.0013694344088435173,
0.02574124000966549,
0.04519261419773102,
0.013945295475423336,
0.02750418893992901,
-0.0003371243947185576,
-0.012671607546508312,
0.04549313336610794,
0.023201335221529007,
-0.014494855888187885,
0.054562442004680634,
0... |
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
... | [
-0.04058586061000824,
0.015399651601910591,
0.013960853219032288,
0.01711323857307434,
0.048521123826503754,
-0.012496487237513065,
-0.0207700002938509,
-0.02221602387726307,
-0.01644006557762623,
0.06829768419265747,
0.0352923721075058,
-0.006906756665557623,
0.011999211274087429,
-0.0066... |
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... | [
0.0022629634477198124,
-0.010858612135052681,
0.005738857667893171,
0.05474628508090973,
0.028717804700136185,
0.03531261906027794,
0.005222272127866745,
-0.03144271299242973,
0.0008486509323120117,
0.025085072964429855,
0.03682880476117134,
-0.010549240745604038,
0.010977993719279766,
0.0... |
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. -->
... | [
-0.011486074887216091,
-0.0018945591291412711,
0.0073670390993356705,
0.05539780855178833,
0.023020906373858452,
0.00324264052323997,
-0.007252193056046963,
-0.025427069514989853,
-0.03443014621734619,
0.04986169934272766,
-0.006705814972519875,
-0.05462528020143509,
-0.002706233412027359,
... |
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
... | [
-0.03850885108113289,
-0.002656405558809638,
-0.002497756388038397,
0.026534173637628555,
0.043635375797748566,
-0.02025485783815384,
-0.006686596665531397,
-0.02864946983754635,
-0.03368494287133217,
0.06907938420772552,
0.034913960844278336,
-0.02127574011683464,
0.021084541454911232,
0.... |
AnonymousSub/SR_rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4 | null | ---
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... | [
-0.017605425789952278,
-0.01429921854287386,
-0.0035210701171308756,
0.02721746452152729,
0.041260261088609695,
-0.016574814915657043,
0.017164360731840134,
-0.01741248369216919,
-0.00962763000279665,
0.05178465321660042,
0.03608674556016922,
-0.022366926074028015,
0.024466635659337044,
0.... |
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... | [
-0.01921696402132511,
-0.028491199016571045,
-0.00791039876639843,
0.038102440536022186,
0.04655648395419121,
0.033443111926317215,
-0.036838795989751816,
0.009706863202154636,
-0.029407089576125145,
0.04542089253664017,
0.04009399935603142,
-0.018853798508644104,
0.017140282317996025,
0.0... |
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

## Get API Key
Get API key from [Sta... | [
-0.03183603286743164,
-0.029534777626395226,
-0.01630331017076969,
0.027117986232042313,
0.04583173990249634,
0.02736973948776722,
-0.01612125150859356,
-0.009083418175578117,
-0.008795051835477352,
0.05299755930900574,
0.042395297437906265,
-0.008204447105526924,
0.017574012279510498,
0.0... |
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... | [
-0.04356139153242111,
-0.0025143292732536793,
0.011931621469557285,
0.038641054183244705,
0.024893291294574738,
-0.011739769950509071,
-0.01136211771517992,
-0.02650526352226734,
-0.038568321615457535,
0.05578093230724335,
0.03722843527793884,
0.0018464875174686313,
0.018822723999619484,
0... |
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. | [
-0.04064694046974182,
-0.012053429149091244,
0.021646946668624878,
0.005080645438283682,
0.04983951151371002,
0.00015669933054596186,
0.011461403220891953,
0.00667929369956255,
-0.026141976937651634,
0.03147134557366371,
0.034199487417936325,
-0.002425928134471178,
0.012299368157982826,
0.... |
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... | [
-0.043268922716379166,
-0.002415392780676484,
0.010920565575361252,
0.03719967603683472,
0.02601848728954792,
-0.011783136986196041,
-0.010735816322267056,
-0.025789575651288033,
-0.03884424269199371,
0.05453624203801155,
0.03688483685255051,
0.0015794094651937485,
0.01979932002723217,
0.0... |
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
... | [
-0.0377638004720211,
-0.0027088308706879616,
-0.005122130736708641,
0.025698181241750717,
0.04552964121103287,
-0.021508049219846725,
-0.005857732612639666,
-0.027258720248937607,
-0.03327115625143051,
0.06636615842580795,
0.03133706748485565,
-0.02350980043411255,
0.02267233282327652,
0.0... |
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... | [
-0.04517713934183121,
-0.022565843537449837,
-0.005039956420660019,
0.03944044187664986,
0.04346933215856552,
0.0489974170923233,
-0.017388004809617996,
-0.025654515251517296,
-0.04816531389951706,
0.0656154677271843,
0.014658873900771141,
-0.024921007454395294,
0.01359005831182003,
0.0468... |
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... | [
-0.0174272358417511,
-0.018289808183908463,
-0.006239483132958412,
0.029297824949026108,
0.05151321738958359,
-0.01787816360592842,
-0.010625587776303291,
-0.007820405066013336,
-0.058819480240345,
0.05452234670519829,
-0.0025194366462528706,
-0.009886735118925571,
0.025788675993680954,
0.... |
AnonymousSub/cline-s10-SR | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- 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
... | [
-0.01873285509645939,
-0.015716539695858955,
-0.006907843053340912,
0.026624679565429688,
0.04605548083782196,
-0.0018668234115466475,
-0.01868223212659359,
0.008274336345493793,
-0.03672458603978157,
0.0529835969209671,
0.01775306463241577,
-0.009264679625630379,
0.013441224582493305,
0.0... |
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... | [
-0.029867233708500862,
-0.005311831831932068,
-0.016847392544150352,
0.0517609678208828,
0.036811284720897675,
0.027012843638658524,
-0.001428838586434722,
-0.03388339281082153,
-0.02539234608411789,
0.046545278280973434,
0.024481691420078278,
-0.008064375258982182,
0.018566515296697617,
0... |
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
... | [
-0.018747763708233833,
-0.01670144312083721,
-0.0078126210719347,
0.02683134749531746,
0.046211399137973785,
0.00017219214350916445,
-0.022763127461075783,
0.005498554557561874,
-0.03993465006351471,
0.05625257268548012,
0.018075905740261078,
-0.005412898492068052,
0.010029125027358532,
0.... |
AnonymousSub/rule_based_hier_quadruplet_0.1_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 4 | null | 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.
[ํ๊ตญ์ด๋ฅผ ์ฌ์ฉํ์๋์? ์ฌ๊ธฐ์ ํ๊ตญ์ด ์ค๋ช
์๊ฐ ์์ต๋๋ค!](README.ko.md)
## Disclaimer
I didn't make any models, and most of the code was h... | [
-0.004746393766254187,
-0.01819715090095997,
0.013772246427834034,
0.04461256042122841,
0.02398035116493702,
0.03473813831806183,
0.009091860614717007,
-0.005131932441145182,
-0.014019615948200226,
0.06916691362857819,
0.02997637540102005,
0.002770778490230441,
0.017741238698363304,
0.0591... |
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... | [
-0.008649595081806183,
-0.018811816349625587,
0.0026814760640263557,
0.04060688614845276,
0.07998049259185791,
0.023774007335305214,
-0.008627772331237793,
-0.02363945171236992,
-0.012621614150702953,
0.06484079360961914,
0.04282628372311592,
-0.022774197161197662,
-0.00791536271572113,
0.... |
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 2 | 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 ... | [
-0.047675587236881256,
-0.004404701292514801,
-0.030010586604475975,
0.0405128113925457,
0.027431391179561615,
0.018369855359196663,
0.00341801973991096,
-0.003791616763919592,
-0.03589735925197601,
0.03751116618514061,
0.04226458817720413,
-0.009693932719528675,
-0.002663115505129099,
0.0... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.