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 |
|---|---|---|---|---|---|---|---|
Davlan/mbart50-large-eng-yor-mt | [
"pytorch",
"mbart",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 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
... | [
-0.03784637898206711,
-0.0029543659184128046,
-0.0052069709636271,
0.02572578750550747,
0.045878492295742035,
-0.021142370998859406,
-0.005722067318856716,
-0.02749502845108509,
-0.032940685749053955,
0.06653086096048355,
0.03174206241965294,
-0.023224791511893272,
0.022767934948205948,
0.... |
Davlan/mt5-small-en-pcm | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 9 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
-0.019647713750600815,
-0.0153092872351408,
-0.006624255795031786,
0.03202572464942932,
0.04681777581572533,
-0.002247846918180585,
-0.020820729434490204,
0.0021980218589305878,
-0.04006638750433922,
0.056640349328517914,
0.011761767789721489,
-0.011663589626550674,
0.008927167393267155,
0... |
Davlan/mt5-small-pcm-en | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 9 | 2022-12-21T12:11:17Z | ---
license: apache-2.0
tags:
- google/fleurs
- generated_from_trainer
- automatic-speech-recognition
- hf-asr-leaderboard
- pashto
- ps
datasets:
- fleurs
metrics:
- wer
model-index:
- name: facebook/wav2vec2-xls-r-300m
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognit... | [
-0.014211731031537056,
-0.017680983990430832,
-0.024059252813458443,
0.03614475950598717,
0.028046078979969025,
0.02830270677804947,
-0.021656222641468048,
-0.005250271875411272,
-0.020553460344672203,
0.06497325003147125,
0.026512278243899345,
-0.01058098766952753,
0.00937094446271658,
0.... |
Davlan/mt5_base_eng_yor_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 2 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: distilbert-profane-final
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
-0.015507728792726994,
0.014858745038509369,
-0.04263696074485779,
0.06444543600082397,
0.04578687995672226,
0.02099134959280491,
-0.0068338168784976006,
-0.02899083122611046,
-0.06164143234491348,
0.06522775441408157,
0.014461340382695198,
-0.0381300114095211,
-0.002524156589061022,
0.041... |
Davlan/mt5_base_yor_eng_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 8 | null | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
inference: true
pipeline_tag: text-to-image
---
# i modelli 'Inizio'
<img src=https://ac-p.namu.la/20230106sac/980c715bd45a7fb0cfe8ce06715c6c4034825fa4d4d07267a5585eb709f2cefa.png
width=100% height=100%>
Inizio is the series of ... | [
-0.02555616945028305,
-0.03620947524905205,
-0.0006031107041053474,
0.020252177491784096,
0.02699165791273117,
0.0034956508316099644,
0.01410184521228075,
-0.007466981187462807,
-0.01595989800989628,
0.07278553396463394,
0.051624033600091934,
-0.01153484545648098,
0.003475804114714265,
0.0... |
Davlan/xlm-roberta-base-finetuned-english | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like cluste... | [
-0.03632119297981262,
-0.01704941876232624,
-0.017162278294563293,
0.05106724053621292,
0.01151119265705347,
0.04437613859772682,
-0.018663978204131126,
-0.0026771770790219307,
-0.0695725753903389,
0.08319412916898727,
0.03939869627356529,
0.012617562897503376,
0.0022086689714342356,
0.040... |
Davlan/xlm-roberta-base-finetuned-hausa | [
"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... | 234 | null | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-Pixelcopter-Basic
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-... | [
-0.03991338238120079,
0.01674553193151951,
0.015647636726498604,
0.01828634925186634,
0.04581429064273834,
-0.011738574132323265,
-0.022997086867690086,
-0.0249304361641407,
-0.01793755032122135,
0.06796770542860031,
0.03201805055141449,
-0.0031514447182416916,
0.009790928103029728,
-0.003... |
Davlan/xlm-roberta-base-finetuned-kinyarwanda | [
"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... | 61 | 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
... | [
-0.0217652078717947,
-0.003931072540581226,
-0.003035060130059719,
0.024107135832309723,
0.051108069717884064,
-0.01981556974351406,
-0.002324514091014862,
-0.01650839112699032,
-0.040894024074077606,
0.07279784977436066,
0.021351519972085953,
-0.030316846445202827,
0.015026734210550785,
0... |
Davlan/xlm-roberta-base-finetuned-lingala | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 9 | 2022-12-21T12:51:33Z | ---
language:
- hi
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper Small Hi - Sanchit Gandhi
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | [
-0.02920062094926834,
-0.0056435298174619675,
-0.032387956976890564,
0.03273272514343262,
0.04813111945986748,
0.013362163677811623,
-0.01600049063563347,
0.011963197961449623,
-0.02434971183538437,
0.06530366092920303,
0.04445283114910126,
-0.010133882984519005,
0.02306029200553894,
0.032... |
Davlan/xlm-roberta-base-finetuned-shona | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | null | ---
language:
- or
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Odia
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mo... | [
-0.03846350312232971,
-0.010629336349666119,
0.0006780110416002572,
0.037138015031814575,
0.03546963259577751,
0.015581943094730377,
0.0025253375060856342,
-0.006060512270778418,
-0.012035241350531578,
0.07468336075544357,
0.032447803765535355,
-0.040043674409389496,
0.0056386906653642654,
... |
Davlan/xlm-roberta-base-finetuned-somali | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 8 | null | ---
license: creativeml-openrail-m
language:
- en
thumbnail: "https://static.miraheze.org/intercriaturaswiki/2/2c/Dussian_model.png"
tags:
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
#datasets:
#- Name/name
inference: true
widget:
- text: alien insects, insectoid, scarab, alien, humanoid, insects... | [
-0.014663600362837315,
-0.032819319516420364,
-0.02880912646651268,
0.024457845836877823,
0.06251928955316544,
-0.0009478919673711061,
-0.01207265816628933,
-0.02488754503428936,
0.00101490190718323,
0.053957823663949966,
0.029684530571103096,
0.0012428067857399583,
0.010525660589337349,
0... |
Davlan/xlm-roberta-base-finetuned-wolof | [
"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... | 3 | 2022-12-21T13:18:03Z | ---
model-index:
- name: Sociovestix/lenu_FI
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: lenu
type: Sociovestix/lenu
config: FI
split: test
revision: fbe0b4b5b8d6950c10f5710f2c987728635a4afe
metrics:
- type: f1
value... | [
0.00877019390463829,
-0.026244673877954483,
0.010784846730530262,
0.031699519604444504,
0.05078314617276192,
0.02050292305648327,
-0.03055552765727043,
-0.00562635250389576,
-0.08716483414173126,
0.04981977120041847,
0.036263540387153625,
-0.01735210046172142,
0.019661230966448784,
0.02440... |
Davlan/xlm-roberta-base-finetuned-xhosa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 12 | null | ---
language:
- ru
tags:
- Transformers
- bert
pipeline_tag: fill-mask
thumbnail: https://github.com/sberbank-ai/model-zoo
license: apache-2.0
widget:
- text: Применение метода <mask> векторов для решения задач классификации
---
# ruSciBERT
Model was trained by Sber AI team and MLSA Lab of Institute for AI, MSU.
If yo... | [
-0.031678032130002975,
-0.022062867879867554,
-0.011166607961058617,
0.06086253002285957,
0.0672466829419136,
0.030354619026184082,
-0.009568358771502972,
-0.003545264946296811,
-0.05736878514289856,
0.06063012778759003,
0.030620751902461052,
-0.007167651783674955,
-0.015444891527295113,
0... |
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 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- wer
model-index:
- name: model_syllable_onSet2
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 com... | [
-0.030563920736312866,
0.0038641896098852158,
-0.012925460003316402,
0.031072570011019707,
0.034417036920785904,
0.019269736483693123,
-0.01638202928006649,
-0.006250164471566677,
-0.030320988968014717,
0.05636046454310417,
0.029893215745687485,
-0.034009307622909546,
0.027313902974128723,
... |
Davlan/xlm-roberta-base-finetuned-zulu | [
"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... | 3 | null | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Small Slovenian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: google/fleurs sl_si
type: goo... | [
-0.010175248607993126,
-0.011677966453135014,
-0.006422597914934158,
0.04328780993819237,
0.043470948934555054,
0.012429342605173588,
-0.002320496831089258,
0.010367021895945072,
-0.049505047500133514,
0.08111803233623505,
0.02851790562272072,
-0.03232983872294426,
0.013825342990458012,
0.... |
Davlan/xlm-roberta-base-masakhaner | [
"pytorch",
"xlm-roberta",
"token-classification",
"arxiv:2103.11811",
"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,
... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: distilbert-targin-final
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | [
-0.013705016113817692,
-0.0017027052817866206,
-0.03752735257148743,
0.06271552294492722,
0.05844075605273247,
0.013105737045407295,
-0.01673932932317257,
-0.02228482998907566,
-0.04907112941145897,
0.06733494997024536,
0.010195733979344368,
-0.050158292055130005,
0.011745959520339966,
0.0... |
Davlan/xlm-roberta-base-ner-hrl | [
"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,
... | 760 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.52 +/- 2.72... | [
-0.018999259918928146,
-0.016281308606266975,
-0.006897251587361097,
0.025511717423796654,
0.04798147827386856,
-0.00225365674123168,
-0.018183451145887375,
0.006901612039655447,
-0.037652116268873215,
0.05273865908384323,
0.01728525198996067,
-0.0068787625059485435,
0.012541370466351509,
... |
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 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.040963541716337204,
-0.0015032123774290085,
-0.007216521538794041,
0.049364957958459854,
0.02945229597389698,
0.021344738081097603,
-0.025065822526812553,
-0.03654184564948082,
-0.006247465964406729,
0.04965643957257271,
0.018665658310055733,
-0.008945133537054062,
0.02169666439294815,
... |
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 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: r123oy
---
### Roy Dreambooth model trained by duja1 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 `diffusers` [Colab Notebook ... | [
-0.02851026877760887,
-0.006649659015238285,
-0.016620883718132973,
0.03155742958188057,
0.032849494367837906,
0.016779139637947083,
-0.0435141958296299,
-0.031586721539497375,
-0.018741434440016747,
0.04547705501317978,
0.0289100743830204,
0.006694012321531773,
-0.020485544577240944,
0.03... |
Dazai/Ok | [] | 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
---
## Привет! Это модель основанная на ruGPT3-small
Модель опубликована под лицензией MIT!
# Пример кода на Python
```python
from transformers import GPT2LMHeadModel, GPT2Tokenizer
model_name_or_path = "путь до папки с моделью"
tokenizer = GPT2Tokenizer.from_pretrained(model_name_or_path)
model = GPT... | [
-0.021096693351864815,
-0.027216866612434387,
-0.023341132327914238,
0.032366830855607986,
0.06374047696590424,
0.016245681792497635,
0.0004930858267471194,
0.013428707607090473,
-0.033049702644348145,
0.04774393141269684,
0.03639457747340202,
-0.02388017810881138,
0.013919537886977196,
0.... |
Ddarkros/Test | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
widget:
- text: "masterpiece, best quality, anime, 1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, garden, looking at viewer"
ex... | [
0.008044223301112652,
-0.02445291541516781,
-0.01354189682751894,
0.036735899746418,
0.040631990879774094,
0.003422248875722289,
0.008155069313943386,
-0.011352410539984703,
-0.014538632705807686,
0.06371882557868958,
0.011313626542687416,
-0.018472105264663696,
0.017699657008051872,
0.040... |
DeBERTa/deberta-v2-xxlarge | [] | 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:
- el
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
- whisper-large
- mozilla-foundation/common_voice_11_0
- greek
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
metrics:
- wer
model-index:
- name: whisper-lg-el-intlv-xs-2
results:
- task:
name: Automatic Sp... | [
-0.03068949282169342,
-0.01662334054708481,
-0.0015651634894311428,
0.04021274298429489,
0.042192161083221436,
0.024872394278645515,
-0.008603791706264019,
-0.007246388588100672,
-0.021819552406668663,
0.06753355264663696,
0.03827261924743652,
-0.048566967248916626,
0.009950485080480576,
0... |
DeadBeast/korscm-mBERT | [
"pytorch",
"bert",
"text-classification",
"korean",
"dataset:Korean-Sarcasm",
"transformers",
"license:apache-2.0"
] | 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... | 43 | null | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Small Maori
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: google/fleurs mi_nz
type: google/... | [
-0.03626006841659546,
-0.025333484634757042,
0.006030161399394274,
0.025091392919421196,
0.03164726495742798,
0.013759893365204334,
-0.020521890372037888,
-0.01151690911501646,
-0.007349975407123566,
0.07471928000450134,
0.0354447141289711,
-0.03155336156487465,
0.02217179536819458,
0.0150... |
DeadBeast/mbert-base-cased-finetuned-bengali-fakenews | [
"pytorch",
"bert",
"text-classification",
"bengali",
"dataset:BanFakeNews",
"transformers",
"license:apache-2.0"
] | 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 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: billsum
type: billsum
config: default
... | [
-0.007721043657511473,
-0.007632185705006123,
-0.004321108106523752,
0.02183847688138485,
0.015184309333562851,
0.016638897359371185,
-0.016935719177126884,
-0.023035746067762375,
-0.040814220905303955,
0.04558771848678589,
0.03794824704527855,
-0.00861491821706295,
-0.017403755336999893,
... |
DeadBeast/roberta-base-pretrained-mr-2 | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 5 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.04050156846642494,
-0.0007310879300348461,
-0.006860201712697744,
0.04969488084316254,
0.028355102986097336,
0.020548418164253235,
-0.024583086371421814,
-0.03851950913667679,
-0.004956559278070927,
0.04788009449839592,
0.02065514773130417,
-0.009545081295073032,
0.021185388788580894,
0... |
DecafNosebleed/ScaraBot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-12-21T14:28:20Z | ---
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
... | [
-0.039775632321834564,
-0.017642706632614136,
-0.016959048807621002,
0.032369017601013184,
0.05079972743988037,
-0.005577821750193834,
-0.013200183399021626,
-0.02588484063744545,
-0.03149668127298355,
0.053489867597818375,
0.021864615380764008,
-0.032401684671640396,
0.01683926209807396,
... |
Declan/Breitbart_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra... | [
-0.043392498046159744,
-0.0013114223256707191,
-0.007371394895017147,
0.04938627779483795,
0.028023650869727135,
0.021906502544879913,
-0.024927373975515366,
-0.037972595542669296,
-0.006841788999736309,
0.04957186058163643,
0.018807753920555115,
-0.008884025737643242,
0.019772684201598167,
... |
Declan/Breitbart_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language:
- code
tags:
- code
- rust
- programming
---
# BLOOM (560M ckpt) fine-tuned on The Stack RUST code
- Latest ckpt: https://huggingface.co/mrm8488/bloom-560m-finetuned-the-stack-rust/tree/100k
## Model 🧠
[BigScience Large Open-science Open-access Multilingual Language Model](https://huggingface.co/bi... | [
-0.01517797913402319,
-0.01177980750799179,
0.007203098852187395,
0.03540155664086342,
0.03286512568593025,
0.021276306360960007,
-0.0017868723953142762,
-0.008557556197047234,
-0.012481759302318096,
0.06042565032839775,
0.05891953408718109,
0.02399175427854061,
0.007174771279096603,
0.041... |
Declan/Breitbart_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language:
- en
license: apache-2.0
tags:
- dialogue policy
- task-oriented dialog
datasets:
- ConvLab/multiwoz21
---
# ddpt-policy-sgd
This is a DDPT model (https://aclanthology.org/2022.coling-1.21/) trained on [MultiWOZ 2.1](https://huggingface.co/datasets/ConvLab/multiwoz21)
Refer to [ConvLab-3](https://gith... | [
-0.023637020960450172,
-0.029703589156270027,
-0.010007972829043865,
0.04209332540631294,
0.044219810515642166,
0.02726086787879467,
-0.014044336974620819,
-0.016419462859630585,
0.006830565631389618,
0.043467581272125244,
0.04139648377895355,
-0.01947932131588459,
0.01550463680177927,
0.0... |
Declan/Breitbart_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:
- 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... | [
-0.019585253670811653,
-0.0165256280452013,
-0.006017687730491161,
0.033528827130794525,
0.05232521519064903,
-0.016592727974057198,
-0.01064248662441969,
-0.008598086424171925,
-0.058059241622686386,
0.05446157976984978,
-0.003939542453736067,
-0.006788307335227728,
0.026279112324118614,
... |
Declan/Breitbart_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71
... | [
-0.021980494260787964,
-0.013833613134920597,
-0.007098465226590633,
0.029753686860203743,
0.04740525782108307,
0.0009913400281220675,
-0.017790917307138443,
0.00742105208337307,
-0.03590286523103714,
0.053970519453287125,
0.0150767145678401,
-0.0044535123743116856,
0.015456315129995346,
0... |
Declan/Breitbart_model_v7 | [
"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 | 2022-12-21T14:43:54Z | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
p... | [
-0.007563179824501276,
-0.018039751797914505,
0.011587860994040966,
0.02691332995891571,
0.03357028216123581,
0.01247367262840271,
-0.00038384294020943344,
-0.0050749871879816055,
-0.009018970653414726,
0.05081995949149132,
0.013246848247945309,
0.006228129845112562,
0.022562667727470398,
... |
Declan/Breitbart_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- wer
model-index:
- name: model_syllable_onSet3
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 com... | [
-0.029691018164157867,
0.003274778136983514,
-0.01566036231815815,
0.02937692031264305,
0.03731094300746918,
0.01956813968718052,
-0.018184134736657143,
-0.0064412737265229225,
-0.03158419951796532,
0.05881873890757561,
0.030001750215888023,
-0.037998151034116745,
0.024957910180091858,
0.0... |
Declan/CNN_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language:
- hi
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper Small Hi - Sanchit Gandhi
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... | [
-0.02920062094926834,
-0.0056435298174619675,
-0.032387956976890564,
0.03273272514343262,
0.04813111945986748,
0.013362163677811623,
-0.01600049063563347,
0.011963197961449623,
-0.02434971183538437,
0.06530366092920303,
0.04445283114910126,
-0.010133882984519005,
0.02306029200553894,
0.032... |
Declan/NewYorkTimes_model_v3 | [] | 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
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: a photo of britazzleshorg cat at Shakespeare outdoor amphitheater in pet costume
---
# DreamBooth model for the britazzleshorg concept trained by Nl... | [
-0.03017764911055565,
-0.02593025006353855,
-0.023136146366596222,
0.03857048228383064,
0.032263338565826416,
0.02285831980407238,
-0.007859669625759125,
-0.00008081035775830969,
-0.02024192549288273,
0.05311631038784981,
0.029287084937095642,
-0.00008169738430297002,
-0.01293779443949461,
... |
Declan/Reuters_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
pipeline_tag: object-detection
tags:
- vision
---
# Detection Transformers with Assignment
By [Jeffrey Ouyang-Zhang](https://jozhang97.github.io/), [Jang Hyun Cho](https://sites.google.com/view/janghyuncho/), [Xingyi Zhou](https://www.cs.utexas.edu/~zhouxy/), [Philipp Krähenbühl](http://www.philkr.net/)
From the... | [
-0.028758332133293152,
-0.015222773887217045,
0.018146516755223274,
-0.0003406199684832245,
0.03706163913011551,
0.03813745453953743,
-0.0075497860088944435,
-0.013348703272640705,
-0.02921915613114834,
0.06869857758283615,
0.02564200572669506,
0.012530956417322159,
-0.007194553967565298,
... |
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 | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3-q-learning
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.50... | [
-0.018203845247626305,
-0.015249675139784813,
-0.007983309216797352,
0.02789057232439518,
0.045141443610191345,
-0.00032060977537184954,
-0.0169385876506567,
0.006538829766213894,
-0.03525886312127113,
0.05341314524412155,
0.01913990080356598,
-0.005967750214040279,
0.01246182806789875,
0.... |
DeltaHub/lora_t5-base_mrpc | [
"pytorch",
"transformers"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 3 | 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
... | [
-0.04145807772874832,
-0.018178673461079597,
-0.016251610592007637,
0.033959321677684784,
0.05016268044710159,
-0.00441869767382741,
-0.014098383486270905,
-0.024483276531100273,
-0.031652096658945084,
0.05331374704837799,
0.02050662972033024,
-0.03108249045908451,
0.01692325808107853,
0.0... |
Denny29/DialoGPT-medium-asunayuuki | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
language:
- ba
license: apache-2.0
tags:
- grammatical error correction
---
# Canine-c Bashkir Spelling Correction v1
This model is a version of [google/canine-c](https://huggingface.co/openai/whisper-small) fine-tuned to fix corrupted texts.
It was trained on a mixture of two parallel datasets in the Bashkir lan... | [
-0.0011250384850427508,
-0.009785288944840431,
-0.004631065297871828,
0.06877623498439789,
0.03915786370635033,
0.0325809046626091,
-0.014106986112892628,
0.008099572733044624,
-0.06376931816339493,
0.06531012058258057,
0.026345720514655113,
-0.017573488876223564,
0.0007522950181737542,
0.... |
Denver/distilbert-base-uncased-finetuned-squad | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- ne
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Large V2 Nepali
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
nam... | [
-0.032093584537506104,
0.00130434927996248,
0.00022089618141762912,
0.031606078147888184,
0.04894136264920235,
0.0138753866776824,
0.006762743927538395,
-0.01756890118122101,
-0.019604884088039398,
0.07591214776039124,
0.04130716994404793,
-0.04143406078219414,
0.0231444351375103,
0.032903... |
DeskDown/MarianMixFT_en-hi | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: mit
tags:
- audio
- automatic-speech-recognition
- endpoints-template
library_name: generic
inference: false
---
# OpenAI [Whisper](https://github.com/openai/whisper) Inference Endpoint example
> Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and ... | [
-0.04074373468756676,
-0.019321855157613754,
-0.016559287905693054,
0.029777830466628075,
0.04808776453137398,
0.034708164632320404,
-0.014618003740906715,
-0.012136818841099739,
-0.039008934050798416,
0.058417774736881256,
0.039271678775548935,
0.0004115813644602895,
0.015760408714413643,
... |
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 | ---
title: Pet classifier!
emoji: 🐶
colorFrom: pink
colorTo: blue
sdk: gradio
sdk_version: 3.1.1
app_file: app.py
pinned: true
license: apache-2.0
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference | [
-0.03153030201792717,
-0.0015385698061436415,
-0.010937238112092018,
0.04345565661787987,
0.05066964402794838,
0.01950645260512829,
-0.0314236581325531,
-0.01326701045036316,
-0.03609461709856987,
0.051614537835121155,
-0.0018219634657725692,
0.00530147273093462,
0.03968408331274986,
0.023... |
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 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: distilbert-hate-final
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... | [
-0.004381416365504265,
0.024996403604745865,
-0.024195784702897072,
0.0525483563542366,
0.049622684717178345,
0.030782248824834824,
-0.02286865934729576,
-0.03136585280299187,
-0.05855778232216835,
0.06718482822179794,
0.01092896144837141,
-0.04141552001237869,
0.016168521717190742,
0.0275... |
DeskDown/MarianMix_en-zh-10 | [
"pytorch",
"tensorboard",
"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:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
-0.017694197595119476,
-0.015297787263989449,
-0.006363012362271547,
0.029873153194785118,
0.04397011920809746,
0.00019716622773557901,
-0.018803514540195465,
0.005727212876081467,
-0.03804069384932518,
0.0511213056743145,
0.014488575048744678,
-0.0025904166977852583,
0.012458662502467632,
... |
DeskDown/MarianMix_en-zh_to_vi-ms-hi-ja | [
"pytorch",
"tensorboard",
"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... | 5 | null | ---
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_file: middle_dutch_passAgg.pkl
widget:
structuredData:
x0:
- 0.0
- 0.0
- 0.0
x1:
- 0.0
- 0.0
- 0.0
x10:
- 0.0
- 0.0
- 0.0
x100:
- 0.0
- 0.0
- 0.0
x1000:
- 0.0
- ... | [
-0.028647735714912415,
-0.023010078817605972,
-0.004262471105903387,
0.023952554911375046,
0.0298440121114254,
0.00451106671243906,
-0.025814687833189964,
0.011468235403299332,
-0.06040642037987709,
0.07205390930175781,
0.029971225187182426,
-0.0235882718116045,
0.01344756968319416,
0.0281... |
Devmapall/paraphrase-quora | [
"pytorch",
"jax",
"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... | 3 | null | ---
language:
- en
tags:
- pytorch
- causal-lm
license: creativeml-openrail-m
--- | [
-0.02999742329120636,
0.0022499968763440847,
0.005230671260505915,
0.016808299347758293,
0.04187256097793579,
0.016626844182610512,
-0.0026818574406206608,
-0.002121873665601015,
-0.021845757961273193,
0.04161275550723076,
0.04352804273366928,
-0.0032662912271916866,
-0.005631747655570507,
... |
Devrim/prism-default | [
"license:mit"
] | 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 hongS/donut-base-hangul_sep is restricted and you are not in the authorized list. Visit https://huggingface.co/hongS/donut-base-hangul_sep to ask for access. | [
-0.05393509194254875,
-0.01879824697971344,
-0.0011295480653643608,
0.037438809871673584,
0.01642397977411747,
0.011459843255579472,
0.0021326281130313873,
0.02728123590350151,
-0.04472847655415535,
0.034311968833208084,
0.055423349142074585,
-0.010099847801029682,
0.021960103884339333,
0.... |
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 | ---
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
... | [
-0.0411083959043026,
-0.016328558325767517,
-0.014254380017518997,
0.03329561650753021,
0.05112263187766075,
-0.004286488518118858,
-0.013167905621230602,
-0.025077637284994125,
-0.03378269448876381,
0.054363127797842026,
0.020848926156759262,
-0.0292555782943964,
0.01665794663131237,
0.01... |
Dhruva/Interstellar | [] | 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
... | [
-0.03784222528338432,
-0.002331388648599386,
-0.005319616757333279,
0.025393672287464142,
0.045179449021816254,
-0.021830439567565918,
-0.005037309136241674,
-0.02807026356458664,
-0.03329260274767876,
0.0663304328918457,
0.032524023205041885,
-0.024208758026361465,
0.02241855300962925,
0.... |
DicoTiar/wisdomfiy | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
license: mit
---
CodeGen trained on decompiled ghidra C source code with the capability for answering questions such as:
1. What is the purpose of the code?
2. What language is the code written in (c/c++)?
| [
-0.03246358036994934,
0.007179567124694586,
-0.01814710535109043,
0.01788477785885334,
0.058609023690223694,
0.023093681782484055,
-0.010539124719798565,
0.0022749677300453186,
-0.023048866540193558,
0.02987266704440117,
0.0569429025053978,
0.029634805396199226,
-0.007029106840491295,
0.03... |
DiegoBalam12/institute_classification | [] | 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:
- br
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Large V2 Breton
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
nam... | [
-0.039685968309640884,
-0.01652861014008522,
-0.016471141949295998,
0.03914261236786842,
0.04570070654153824,
0.017020074650645256,
-0.010264663025736809,
-0.014712175354361534,
-0.009913516230881214,
0.06391218304634094,
0.04379873350262642,
-0.04579488933086395,
0.008403947576880455,
0.0... |
Digakive/Hsgshs | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like cluste... | [
-0.03632119297981262,
-0.01704941876232624,
-0.017162278294563293,
0.05106724053621292,
0.01151119265705347,
0.04437613859772682,
-0.018663978204131126,
-0.0026771770790219307,
-0.0695725753903389,
0.08319412916898727,
0.03939869627356529,
0.012617562897503376,
0.0022086689714342356,
0.040... |
Dimedrolza/DialoGPT-small-cyberpunk | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
language:
- es
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
- cer
model-index:
- name: Whisper Large Spanish
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | [
-0.04068296030163765,
-0.026123708114027977,
0.0043608020059764385,
0.049194127321243286,
0.050547897815704346,
0.023686639964580536,
-0.011206998489797115,
-0.008797873742878437,
-0.017689354717731476,
0.07303660362958908,
0.01977829821407795,
-0.030094176530838013,
0.002739671617746353,
... |
DingleyMaillotUrgell/homer-bot | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
0.007207062095403671,
-0.034806523472070694,
-0.0016365997726097703,
0.038093432784080505,
0.05118123069405556,
0.01272902823984623,
-0.026226850226521492,
-0.007342653814703226,
-0.03733456879854202,
0.03904392197728157,
-0.00914877187460661,
-0.00624597305431962,
0.0018910712096840143,
0... |
Dizoid/Lll | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
datasets:
- wikitext
language:
- en
pipeline_tag: fill-mask
---
**NOTE: THIS MODEL IS NOT INTEGRATED WITH HUGGING FACE**. Please use the version of this model converted to the newly implemented `Mega`
architecture in `transformers` ([link](https://huggingface.co/mnaylor/mega-base-wikitext))
# Moving... | [
-0.021347273141145706,
-0.007240490522235632,
-0.003064200282096863,
0.02202528342604637,
0.004862084053456783,
0.038259949535131454,
-0.018545489758253098,
-0.0083169462159276,
-0.018261630088090897,
0.07196509093046188,
0.031121117994189262,
-0.006477980874478817,
0.015033791773021221,
0... |
Dkwkk/Da | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: creativeml-openrail-m
thumbnail: "https://s1.fileditch.ch/gpghnxbfNyIINXmJAJCx.png"
language:
- en
tags:
- text-to-image
- stable-Diffusion
- stable-diffusion-diffusers
- diffusers
- safetensors
inference: true
---
<p align="center"> <img src="https://s1.fileditch.ch/iMqyjOnUtxntHolBiNgT.png" width=35... | [
0.014080388471484184,
-0.03867470473051071,
0.009139973670244217,
0.03189854696393013,
0.03795184567570686,
0.001916319946758449,
0.013871095143258572,
-0.0037274279166013002,
-0.0038799443282186985,
0.052369583398103714,
0.012965056113898754,
-0.008469096384942532,
0.020512497052550316,
0... |
Dmitry12/sber | [] | 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
---
This model (extreme learning machine, a shallow neural net) was trained in R, to reproject sentence transformers ('all-mpnet-base-v2') into wikidata5m knowledge graph embeddings (rotate version).
It is stored with fastsave (https://github.com/barkasn/fastSave_, depends on the library elmNNRcpp
(... | [
-0.05091047286987305,
-0.009607006795704365,
-0.015866922214627266,
0.0354924201965332,
0.004852547310292721,
0.033624593168497086,
-0.02087594009935856,
0.01352827437222004,
-0.03464366868138313,
0.04406815394759178,
0.018066739663481712,
0.006756558548659086,
0.026076896116137505,
0.0134... |
Doiman/DialoGPT-medium-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
license: apache-2.0
tags:
- object-detection
- computer-vision
- yolox
- yolov3
- yolov5
datasets:
- detection-datasets/coco
---
### Model Description
[YOLOX](https://arxiv.org/abs/2107.08430) is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO... | [
-0.06136208772659302,
-0.029518352821469307,
0.003468975191935897,
0.015406236983835697,
0.031637560576200485,
0.02180410735309124,
-0.0074774762615561485,
-0.0321219265460968,
-0.018271198496222496,
0.038239892572164536,
0.047377124428749084,
-0.005181203596293926,
0.007748273201286793,
0... |
DongHyoungLee/distilbert-base-uncased-finetuned-cola | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 27 | null | ---
license: creativeml-openrail-m
language:
- en
thumbnail: "https://huggingface.co/Norod78/SD15-VinageStyle/resolve/main/sample_images/SD15-VintageStyle-Thumbnail.jpg"
tags:
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
datasets:
- Norod78/vintage-blip-captions
inference: true
widget:
- text: A P... | [
-0.01289392076432705,
-0.036139898002147675,
-0.015644848346710205,
0.04659391567111015,
0.04616047814488411,
-0.00002019817657128442,
-0.0008069185423664749,
0.004656506236642599,
0.00433256896212697,
0.050819315016269684,
0.01534202415496111,
-0.006950014736503363,
-0.01575564406812191,
... |
DongHyoungLee/kogpt2-base-v2-finetuned-kogpt2_nsmc_single_sentence_classification | [] | 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:
- it
thumbnail: "url to a thumbnail used in social sharing"
tags:
- psychology
- distilgpt2
widget:
- text: "Il cognitivismo"
- text: "Parliamo di attaccamento"
- text: "Le cause del disturbo d'ansia nei bambini sono"
---
# Italian Psychology DistilGPT-2
This model is a fine-tuned version of the GPT-... | [
0.001626809942536056,
-0.0208541639149189,
0.006339604500681162,
0.04327114298939705,
0.06422949582338333,
0.00914393924176693,
0.02364746481180191,
0.01026220340281725,
-0.023006634786725044,
0.051090650260448456,
0.04696698114275932,
-0.023783395066857338,
-0.0075662326999008656,
0.01966... |
Donghyun/L2_BERT | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
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
... | [
-0.037412647157907486,
-0.002499399706721306,
-0.005146475043147802,
0.025809481739997864,
0.045363649725914,
-0.021642863750457764,
-0.005449260585010052,
-0.028211288154125214,
-0.03318481147289276,
0.06658409535884857,
0.03249378874897957,
-0.023441623896360397,
0.022246964275836945,
0.... |
Dongjae/mrc2reader | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLMRobertaForQuestionAnswering"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 3 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.71... | [
-0.02065540850162506,
-0.014457863755524158,
-0.005517304874956608,
0.02502026967704296,
0.046030204743146896,
-0.0008101383573375642,
-0.019241241738200188,
0.006188804283738136,
-0.03599860146641731,
0.052216194570064545,
0.015581387095153332,
-0.008457818068563938,
0.01410602405667305,
... |
Dongmin/testmodel | [
"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... | 11 | null | ---
library_name: sklearn
datasets:
- scikit-learn/iris
metrics:
- Accuracy
- F1 Score
- Confusion matrix
---
# Model Card for Logistic regression model
A multiclass classification task using a Logistic regression model trained on the [Iris dataset](https://scikit-learn.org/dev/modules/generated/sklearn.datasets.loa... | [
-0.010370435193181038,
-0.013330481015145779,
-0.027944443747401237,
0.03129182755947113,
0.05473288893699646,
0.02326006256043911,
-0.018711797893047333,
0.007812093943357468,
-0.02365199290215969,
0.0733586847782135,
0.0399869866669178,
0.004137004259973764,
0.024817444384098053,
0.05355... |
Doogie/Waynehills-KE-T5-doogie | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- en
thumbnail: "https://huggingface.co/jkcarney/source4_v1.0/blob/main/images/woman1.png"
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
- diffusers
inference: true
---
[*CKPT DOWNLO... | [
-0.014832614921033382,
-0.027090052142739296,
-0.006111494265496731,
0.05549338459968567,
0.03959471359848976,
0.013093100860714912,
0.0034598740749061108,
-0.009945289231836796,
-0.030408255755901337,
0.04594461992383003,
0.009927363134920597,
-0.009114151820540428,
0.007235642522573471,
... |
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: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom-560m-finetuned-unnatural-instructions
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 remo... | [
-0.03160601481795311,
0.022568460553884506,
0.0031319584231823683,
0.011104180477559566,
0.012809237465262413,
-0.0063619292341172695,
-0.026964066550135612,
-0.009382719174027443,
-0.035564299672842026,
0.04916028678417206,
0.03389660641551018,
-0.013997233472764492,
0.016907373443245888,
... |
Waynehillsdev/wav2vec2-base-timit-demo-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 5 | null | This model is converted with https://github.com/huggingface/diffusers/blob/main/scripts/convert_original_stable_diffusion_to_diffusers.py.
However, the tokenizer in the diffuser model is wrong, for proper usage, see description at https://medium.com/@enryu9000/anifusion-sd-91a59431a6dd, and instructions/examples at ht... | [
-0.018604116514325142,
-0.028295502066612244,
-0.016820939257740974,
0.02802005037665367,
0.03401893749833107,
0.015921059995889664,
0.014763209968805313,
-0.011796127073466778,
-0.02098839171230793,
0.06433246284723282,
0.024628635495901108,
0.010478705167770386,
0.04069330915808678,
0.05... |
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:
- 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
... | [
-0.03985302150249481,
-0.018379483371973038,
-0.01594230718910694,
0.03471701964735985,
0.048580944538116455,
-0.00557649414986372,
-0.013039717450737953,
-0.025364872068166733,
-0.031894322484731674,
0.05300614610314369,
0.02135409601032734,
-0.03143588453531265,
0.018165530636906624,
0.0... |
Doohae/q_encoder | [
"pytorch"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- wer
model-index:
- name: model_broadclass_onSet2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | [
-0.029407566413283348,
0.009939382784068584,
-0.01968930847942829,
0.02720724605023861,
0.03939719498157501,
0.023861993104219437,
-0.03346528485417366,
-0.004182368982583284,
-0.02204778790473938,
0.05818086862564087,
0.025704892352223396,
-0.03263407573103905,
0.01986716128885746,
0.0157... |
Doohae/roberta | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 3 | null | ---
tags:
- conversational
---
# Peter Griffin DialoGPT Model | [
-0.03102410025894642,
0.021418197080492973,
-0.0007294612587429583,
0.025424044579267502,
0.006848631892353296,
0.010514046996831894,
-0.0030724904499948025,
0.02772645466029644,
-0.011136535555124283,
0.022875996306538582,
0.03876544535160065,
-0.032931383699178696,
0.011746562086045742,
... |
DoyyingFace/bert-asian-hate-tweets-asian-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 29 | null | ---
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
... | [
-0.03935348242521286,
-0.0026387288235127926,
-0.0026871790178120136,
0.026314031332731247,
0.04318719357252121,
-0.0202232263982296,
-0.0063143339939415455,
-0.02819153480231762,
-0.03259674087166786,
0.06897920370101929,
0.03410520404577255,
-0.021235931664705276,
0.02125164121389389,
0.... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4 | [
"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... | 44 | null | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- sroie
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlm_manifesto_bigdataset
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: sroie
type: sroie
con... | [
-0.011407128535211086,
-0.006684405729174614,
-0.007583594415336847,
0.035287559032440186,
0.05175420269370079,
0.023101454600691795,
-0.02467210963368416,
-0.020203033462166786,
-0.021387217566370964,
0.06281066685914993,
0.04611746221780777,
-0.03563336282968521,
0.01694052666425705,
0.0... |
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 | null | ---
license: apache-2.0
tags:
- object-detection
- computer-vision
- yolox
- yolov3
- yolov5
datasets:
- detection-datasets/coco
---
### Model Description
[YOLOX](https://arxiv.org/abs/2107.08430) is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO... | [
-0.059643808752298355,
-0.027729304507374763,
0.005040152929723263,
0.012698284350335598,
0.03228854760527611,
0.021572280675172806,
-0.007260346785187721,
-0.03215349093079567,
-0.01721270941197872,
0.03821071237325668,
0.04547293484210968,
-0.006895467173308134,
0.007106177043169737,
0.0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 30 | null | # Pile of Law Tokenizer
This tokenizer should be a drop-in replacement for the GPT2Tokenizer. It has the same special tokens, but was trained on a random 1M samples from [the pile of law](https://huggingface.co/datasets/pile-of-law/pile-of-law) train split.
It has exactly 52,000 tokens, which is not identical to GPT2... | [
-0.01045329961925745,
-0.020074861124157906,
-0.006346891168504953,
0.04732391610741615,
0.04820827394723892,
0.033053796738386154,
0.006113708484917879,
0.027258573099970818,
-0.006594160106033087,
0.04468569904565811,
0.03550771623849869,
0.01917535439133644,
0.009399066679179668,
0.0414... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 28 | null | ---
license: apache-2.0
tags:
- object-detection
- computer-vision
- yolox
- yolov3
- yolov5
datasets:
- detection-datasets/coco
---
### Model Description
[YOLOX](https://arxiv.org/abs/2107.08430) is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO... | [
-0.06338819116353989,
-0.027236251160502434,
0.005589089822024107,
0.011428040452301502,
0.03191022202372551,
0.021933162584900856,
-0.00721301045268774,
-0.034111689776182175,
-0.017401527613401413,
0.036055780947208405,
0.045717835426330566,
-0.002584361471235752,
0.007316925097256899,
0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"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... | 37 | null | ---
license: apache-2.0
tags:
- object-detection
- computer-vision
- yolox
- yolov3
- yolov5
datasets:
- detection-datasets/coco
---
### Model Description
[YOLOX](https://arxiv.org/abs/2107.08430) is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO... | [
-0.06130768731236458,
-0.02924874611198902,
0.0037648098077625036,
0.015513045713305473,
0.03135540336370468,
0.022224674001336098,
-0.007276240270584822,
-0.032567013055086136,
-0.018424900248646736,
0.038293905556201935,
0.047752607613801956,
-0.005595613736659288,
0.007722026202827692,
... |
DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 25 | 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
... | [
-0.01709870435297489,
-0.017646363005042076,
-0.00701790489256382,
0.025556696578860283,
0.045706670731306076,
0.00021867842588108033,
-0.020577607676386833,
0.009840594604611397,
-0.03831681236624718,
0.05602458491921425,
0.01742224395275116,
-0.0037041418254375458,
0.013837053440511227,
... |
albert-base-v1 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 38,156 | 2022-12-21T22:11:14Z | ---
license: apache-2.0
tags:
- object-detection
- computer-vision
- yolox
- yolov3
- yolov5
datasets:
- detection-datasets/coco
---
### Model Description
[YOLOX](https://arxiv.org/abs/2107.08430) is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO... | [
-0.06142473220825195,
-0.029111545532941818,
0.003674677573144436,
0.015566668473184109,
0.031453486531972885,
0.02203729934990406,
-0.007236231118440628,
-0.03222886472940445,
-0.018152844160795212,
0.03805910795927048,
0.047498587518930435,
-0.00555762555450201,
0.007640784606337547,
0.0... |
albert-large-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 26,792 | 2022-12-21T22:12:09Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.52 +/- 2.67... | [
-0.017095869407057762,
-0.017401454970240593,
-0.0072164712473750114,
0.025839105248451233,
0.04755469784140587,
-0.0008540994604118168,
-0.020284224301576614,
0.008288885466754436,
-0.038316790014505386,
0.05327747017145157,
0.01630454882979393,
-0.004783740267157555,
0.012786740437150002,
... |
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 | 2022-12-21T22:12:25Z | ---
license: apache-2.0
tags:
- object-detection
- computer-vision
- yolox
- yolov3
- yolov5
datasets:
- detection-datasets/coco
---
### Model Description
[YOLOX](https://arxiv.org/abs/2107.08430) is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO... | [
-0.061366986483335495,
-0.02935798652470112,
0.003793612588196993,
0.01541441772133112,
0.031343813985586166,
0.02208433859050274,
-0.007438892498612404,
-0.0321938619017601,
-0.01829589158296585,
0.03814759477972984,
0.04749123379588127,
-0.0056507340632379055,
0.0077714635990560055,
0.02... |
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 | 2022-12-21T22:24:17Z | ---
language:
- el
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper medium Greek El Greco
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
... | [
-0.042246438562870026,
-0.00387851451523602,
-0.0038721924647688866,
0.033697742968797684,
0.05030952766537666,
0.02496696636080742,
-0.010389993898570538,
-0.002155947033315897,
-0.0125358821824193,
0.0708404928445816,
0.02587904967367649,
-0.04762909933924675,
0.00922960415482521,
0.0224... |
bert-base-german-dbmdz-cased | [
"pytorch",
"jax",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1,814 | 2022-12-21T22:29:08Z | ---
language:
- or
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Odia
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mo... | [
-0.03971767798066139,
-0.01457295659929514,
0.0030470688361674547,
0.0370294488966465,
0.03297692537307739,
0.00800588820129633,
0.007328040432184935,
-0.009331507608294487,
-0.014350691810250282,
0.07678164541721344,
0.032825957983732224,
-0.03608696535229683,
0.0031470709946006536,
0.034... |
bert-large-uncased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 480,510 | 2022-12-21T22:53:51Z | ---
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... | [
-0.01989753730595112,
-0.01750917173922062,
-0.007898512296378613,
0.028867075219750404,
0.053811050951480865,
-0.01989695429801941,
-0.009846626780927181,
-0.00864762719720602,
-0.06054657697677612,
0.05443263053894043,
-0.004056883975863457,
-0.007235747762024403,
0.026467928662896156,
0... |
bert-large-uncased | [
"pytorch",
"tf",
"jax",
"safetensors",
"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... | 1,058,496 | 2022-12-21T23:00:44Z | ---
language:
- uk
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
- google/fleurs
model-index:
- name: whisper-large-uk
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Com... | [
-0.03370703011751175,
0.003594211535528302,
0.0008227401995100081,
0.045972950756549835,
0.044893085956573486,
0.013099952600896358,
-0.0025900756008923054,
-0.01569458283483982,
-0.020815813913941383,
0.07011178135871887,
0.02785707451403141,
-0.028120169416069984,
0.016062550246715546,
0... |
camembert-base | [
"pytorch",
"tf",
"safetensors",
"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"CamembertForMaskedLM"
],
"model_type": "camembert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_... | 1,440,898 | null | ---
license: openrail++
tags:
- stable-diffusion
- text-to-image
- stable-diffusion-diffusers
- diffusers
inference: true
---
# .
# .
# .
# .
# .
# .
# ❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗❗
# This version is deprecated.
# Please use [Mitsua Diffusion One](https://huggingface.co/Mitsua/mitsua-diffusion-one), which is a suc... | [
-0.009203762747347355,
-0.02978326939046383,
0.00011504042777232826,
0.027676943689584732,
0.05356728658080101,
0.02033655345439911,
0.015383660793304443,
0.00010573409963399172,
-0.02696666680276394,
0.04808308184146881,
0.016221173107624054,
-0.003495357697829604,
0.014496861025691032,
0... |
AdapterHub/bert-base-uncased-pf-quoref | [
"bert",
"en",
"dataset:quoref",
"arxiv:2104.08247",
"adapter-transformers",
"question-answering"
] | question-answering | {
"architectures": null,
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_bea... | 6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-large-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. -->... | [
-0.036873381584882736,
-0.012061976827681065,
-0.003933550324290991,
0.03797069191932678,
0.041381221264600754,
0.0013423271011561155,
-0.012454395182430744,
0.0016944523667916656,
-0.023014811798930168,
0.06457976996898651,
0.02685587853193283,
-0.024585429579019547,
0.011173807084560394,
... |
AdapterHub/roberta-base-pf-race | [
"roberta",
"en",
"dataset:race",
"arxiv:2104.08247",
"adapter-transformers",
"adapterhub:rc/race"
] | null | {
"architectures": null,
"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": null,
"num_... | 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
... | [
-0.037573643028736115,
-0.0026882681995630264,
-0.004924403969198465,
0.02555684931576252,
0.045216094702482224,
-0.022025208920240402,
-0.005002370569854975,
-0.027881363406777382,
-0.03356815129518509,
0.06640070676803589,
0.03220776095986366,
-0.023759493604302406,
0.022808007895946503,
... |
AdapterHub/roberta-base-pf-social_i_qa | [
"roberta",
"en",
"dataset:social_i_qa",
"arxiv:2104.08247",
"adapter-transformers"
] | null | {
"architectures": null,
"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": null,
"num_... | 4 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/luncdao/1671725263459/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: ... | [
-0.00805217120796442,
-0.03792194277048111,
0.01022346317768097,
0.052227698266506195,
0.054739825427532196,
0.012323820032179356,
-0.013832920230925083,
-0.006860842928290367,
-0.038058292120695114,
0.029431909322738647,
0.004287295043468475,
-0.0020103093702346087,
-0.0128494156524539,
0... |
AdapterHub/roberta-base-pf-wnut_17 | [
"roberta",
"en",
"dataset:wnut_17",
"arxiv:2104.08247",
"adapter-transformers",
"token-classification"
] | token-classification | {
"architectures": null,
"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": null,
"num_... | 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
... | [
-0.037370070815086365,
-0.00263406615704298,
-0.005157120060175657,
0.025690734386444092,
0.045485276728868484,
-0.021348409354686737,
-0.005368963349610567,
-0.027806978672742844,
-0.03303559496998787,
0.06647004187107086,
0.032544225454330444,
-0.02365744113922119,
0.0232642013579607,
0.... |
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 | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### 8a4b41d6-d132-4a09-8d3d-9b0d7fb19618 Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept v... | [
-0.03869784250855446,
-0.03353292867541313,
-0.017728878185153008,
0.037610866129398346,
0.024188121780753136,
0.0188797265291214,
-0.03611523285508156,
-0.02212441712617874,
-0.013062411919236183,
0.03667576238512993,
0.024747515097260475,
0.015798619017004967,
-0.02353634499013424,
0.039... |
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: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### saqib_sarahkhan_t350-u4000-11-21-pm Dreambooth model trained by imjunaidafzal with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test... | [
-0.01989525370299816,
-0.0218923632055521,
-0.028120582923293114,
0.032707683742046356,
0.019065512344241142,
0.028392288833856583,
-0.006906303111463785,
0.0008399983053095639,
-0.015870312228798866,
0.03146878629922867,
0.03828800097107887,
0.016073061153292656,
-0.02120184898376465,
0.0... |
Akaramhuggingface/News | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/blockchainu-dsocialcommons-schwentker/1671735857548/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4... | [
0.007092955056577921,
-0.04116889089345932,
0.004193249624222517,
0.03638678044080734,
0.040670253336429596,
0.01074290368705988,
-0.01543379481881857,
0.006061431020498276,
-0.04695555195212364,
0.042262107133865356,
0.02252098172903061,
-0.0031253781635314226,
-0.006138232070952654,
0.02... |
Akari/albert-base-v2-finetuned-squad | [
"pytorch",
"tensorboard",
"albert",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 13 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
-0.03727829456329346,
-0.0032382358331233263,
-0.005070964805781841,
0.025827500969171524,
0.045364439487457275,
-0.02149643935263157,
-0.005280091427266598,
-0.028015147894620895,
-0.033417873084545135,
0.06650571525096893,
0.03253641724586487,
-0.023549899458885193,
0.023031679913401604,
... |
Akash7897/distilbert-base-uncased-finetuned-cola | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 31 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### sci-fi-landscape- Dreambooth model trained by Joeythemonster with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via ... | [
-0.03138486295938492,
-0.029907871037721634,
-0.03895372897386551,
0.03496582433581352,
0.03227789327502251,
0.024214446544647217,
-0.0050966436974704266,
-0.010592150501906872,
-0.011730654165148735,
0.03749864920973778,
0.04991108924150467,
0.022290527820587158,
-0.018605725839734077,
0.... |
Akash7897/test-clm | [] | 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
model-index:
- name: roberta_emo
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. -->
# roberta_emo
This model is a f... | [
-0.026565121486783028,
-0.008670489303767681,
-0.01568157970905304,
0.04826970398426056,
0.032582469284534454,
0.03897441551089287,
-0.001267551095224917,
-0.01873348467051983,
-0.03872654214501381,
0.05495738610625267,
0.039318282157182693,
-0.015587739646434784,
0.006366432644426823,
0.0... |
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 | ---
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
... | [
-0.03738180547952652,
-0.0024790007155388594,
-0.005097278393805027,
0.02532169036567211,
0.04557275399565697,
-0.02187851443886757,
-0.005343456286936998,
-0.027815259993076324,
-0.03330796957015991,
0.06677274405956268,
0.03216423839330673,
-0.02362246625125408,
0.022502100095152855,
0.0... |
Akashpb13/Galician_xlsr | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"gl",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- wer
model-index:
- name: model_broadclass_onSet0.1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this... | [
-0.030132951214909554,
0.010029337368905544,
-0.01926708035171032,
0.024096274748444557,
0.03620091825723648,
0.024778330698609352,
-0.03220799192786217,
-0.005948987789452076,
-0.022271260619163513,
0.060123518109321594,
0.024539705365896225,
-0.033689968287944794,
0.02283971570432186,
0.... |
Akashpb13/Hausa_xlsr | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ha",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index",
"... | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 31 | 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
... | [
-0.04169902577996254,
-0.01671377196907997,
-0.018624193966388702,
0.0339718759059906,
0.049987055361270905,
-0.004270969890058041,
-0.013608190231025219,
-0.02583785355091095,
-0.03195921331644058,
0.05217808112502098,
0.02193795144557953,
-0.03220844268798828,
0.018485497683286667,
0.018... |
Akashpb13/xlsr_hungarian_new | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hu",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 7 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: leidirocha
---
### leidirocha Dreambooth model trained by Babivill 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 `diffusers` [C... | [
-0.024951394647359848,
-0.02847457118332386,
-0.013639502227306366,
0.023389188572764397,
0.02957041747868061,
0.009155073203146458,
-0.0348818264901638,
-0.030724646523594856,
-0.01611943542957306,
0.051891669631004333,
0.03127589821815491,
0.006152874790132046,
-0.028265120461583138,
0.0... |
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 | ---
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
... | [
-0.0417514443397522,
-0.017400920391082764,
-0.017876233905553818,
0.03377297520637512,
0.05048217996954918,
-0.004286312498152256,
-0.014331270009279251,
-0.02508256770670414,
-0.03230287879705429,
0.052883438766002655,
0.022302059456706047,
-0.031381819397211075,
0.01818792149424553,
0.0... |
AlanDev/DallEMiniButBetter | [] | 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: Copilot_for_poors
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. -->
# Copilot_for_poors... | [
-0.0358736589550972,
0.0012775829527527094,
-0.006831255741417408,
0.02194928005337715,
0.037318259477615356,
0.010058548301458359,
-0.019280316308140755,
-0.008059673011302948,
-0.03978783264756203,
0.049075499176979065,
0.019289370626211166,
-0.02714497409760952,
0.0014820040669292212,
0... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.