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 |
|---|---|---|---|---|---|---|---|
Ayham/robertagpt2_cnn | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 4 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: kobart_64_3e-5_datav2_min30_lp5.0_temperature1.0
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. ... | [
-0.04618145152926445,
-0.012938751839101315,
-0.015405544079840183,
0.03197795897722244,
0.028902217745780945,
0.0074116201139986515,
-0.017018338665366173,
0.008866009302437305,
-0.0656818374991417,
0.056791093200445175,
0.01309606060385704,
-0.009298129007220268,
0.027756908908486366,
0.... |
Ayham/robertagpt2_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 4 | 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... | [
-0.017371321097016335,
-0.01807314343750477,
-0.00596160814166069,
0.02906736731529236,
0.05165663734078407,
-0.017697609961032867,
-0.012034299783408642,
-0.009177837520837784,
-0.058908265084028244,
0.05471945181488991,
-0.002539590001106262,
-0.009695331566035748,
0.025464044883847237,
... |
Ayham/robertagpt2_xsum4 | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.03313227370381355,
-0.0010960105573758483,
-0.020778033882379532,
0.05122830346226692,
0.04047789424657822,
0.025515541434288025,
-0.0022101872600615025,
-0.03753777965903282,
-0.02827192097902298,
0.04815090075135231,
0.02430962398648262,
-0.0049031269736588,
0.020258083939552307,
0.02... |
Ayham/xlnet_bert_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 7 | null | ---
tags:
- FrozenLake-v1-8x8-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-8x8-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-8x8-no_slippery
type: Frozen... | [
-0.01975451409816742,
-0.018606876954436302,
-0.005076663102954626,
0.028461381793022156,
0.053194478154182434,
-0.02017240785062313,
-0.009583176113665104,
-0.010562947019934654,
-0.05859650298953056,
0.05393144115805626,
-0.0039816610515117645,
-0.00990691501647234,
0.027242355048656464,
... |
Ayham/xlnet_distilgpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 13 | null | ---
license: creativeml-openrail-m
language:
- en
tags:
- stable-diffusion
---
A diffusion model for anime picture.
Based on Acertainty.ckpt.
| [
0.011108565144240856,
-0.01320661325007677,
-0.007418784312903881,
0.01849193684756756,
0.03667844459414482,
-0.010247021913528442,
0.038068097084760666,
0.020314659923315048,
-0.022240707650780678,
0.058426499366760254,
0.016673583537340164,
-0.0014674001140519977,
0.024144912138581276,
0... |
Ayham/xlnet_gpt2_summarization_cnn_dailymail | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: kobart_64_4e-5_datav2_min30_lp5.0_temperature1.0
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. ... | [
-0.04671641066670418,
-0.01081191934645176,
-0.013929691165685654,
0.031208151951432228,
0.028737319633364677,
0.007105384021997452,
-0.01780221238732338,
0.008572356775403023,
-0.06654536724090576,
0.056657902896404266,
0.012594190426170826,
-0.00905029196292162,
0.02955751121044159,
0.04... |
Ayham/xlnet_gpt2_summarization_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 13 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: kobart_64_5e-5_datav2_min30_lp5.0_temperature1.0
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. ... | [
-0.04455595463514328,
-0.012522361241281033,
-0.013034326024353504,
0.0314142070710659,
0.02861572988331318,
0.005821677390486002,
-0.017766691744327545,
0.008693412877619267,
-0.06527111679315567,
0.05625157058238983,
0.01381553802639246,
-0.009158984757959843,
0.02756590023636818,
0.0446... |
Ayham/xlnet_gpt_xsum | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 11 | null | ---
license: apache-2.0
---
This repo just contains experimental training code for long-t5x. | [
-0.04328306019306183,
-0.010229833424091339,
0.012752721086144447,
0.00503186509013176,
0.029267465695738792,
0.002460902789607644,
-0.01703556999564171,
-0.0036308495327830315,
-0.008466530591249466,
-0.008303663693368435,
0.014566444791853428,
-0.011281672865152359,
-0.0039533041417598724,... |
Ayham/xlnet_roberta_new_summarization_cnn_dailymail | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- caner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner-v2.1
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: caner
type: caner
config: defaul... | [
0.005785865243524313,
0.007998520508408546,
-0.0078073847107589245,
0.039613623172044754,
0.035301364958286285,
0.01412330660969019,
-0.024171479046344757,
-0.047264762222766876,
-0.03770339488983154,
0.051850754767656326,
0.018100591376423836,
-0.024152839556336403,
0.022503530606627464,
... |
Ayjayo/DialoGPT-medium-AyjayoAI | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
task: reinforcement-learning
library_name: ml-agents
tags:
- ML-Agents-SoccerTwos
- reinforcement-learning
--- | [
-0.01779499463737011,
0.00874767079949379,
0.012318028137087822,
0.02199670858681202,
0.04290907457470894,
-0.01584746316075325,
-0.044708479195833206,
-0.006842001341283321,
-0.01799166016280651,
0.057648394256830215,
0.02069212682545185,
0.009372291155159473,
0.004899602383375168,
0.0310... |
Ayoola/cdial-yoruba-test | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"has_space"
] | 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... | 25 | 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... | [
-0.018238287419080734,
-0.017910141497850418,
-0.007598815020173788,
0.03050205670297146,
0.0520307831466198,
-0.017531976103782654,
-0.011730344034731388,
-0.01019752025604248,
-0.059631992131471634,
0.053331535309553146,
-0.0010779504664242268,
-0.00797322764992714,
0.025934219360351562,
... |
Ayoola/pytorch_model | [] | 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
- vi
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This model is based on Protogenx3.4 ann finetuned by UnD Style
# Model Details
This model is based on Protogenx3.4 ann finetuned by UnD Style
## Model Description
<!-- Provide a longer summary of wha... | [
-0.02667977474629879,
-0.023664796724915504,
-0.0036305536050349474,
0.01869899593293667,
0.04643167927861214,
0.03639010712504387,
-0.016570856794714928,
-0.01516347099095583,
-0.0360502190887928,
0.03155849501490593,
0.02446628175675869,
-0.03177560493350029,
0.005088258534669876,
0.0494... |
Ayoola/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-finetuned-gest-pred
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comp... | [
0.0025161525700241327,
0.015970885753631592,
-0.02073804661631584,
0.029203802347183228,
0.05796852707862854,
0.03172094002366066,
-0.022837616503238678,
-0.01865392178297043,
-0.052784841507673264,
0.05962246283888817,
0.01792990043759346,
-0.03118075430393219,
0.02016657404601574,
0.0401... |
Ayou/chinese_mobile_bert | [
"pytorch",
"mobilebert",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"MobileBertForMaskedLM"
],
"model_type": "mobilebert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 16 | 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
... | [
-0.021190090104937553,
-0.016560310497879982,
-0.00834602490067482,
0.026380391791462898,
0.04659175127744675,
0.0003246216510888189,
-0.02009383589029312,
0.006439793389290571,
-0.037877731025218964,
0.05297194793820381,
0.019083555787801743,
-0.004935282748192549,
0.013657182455062866,
0... |
Ayran/DialoGPT-medium-harry-potter-1-through-3 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: AkeyLegalBert6
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. -->
# AkeyLegalBert6
Th... | [
-0.027684399858117104,
-0.014208287000656128,
-0.01842309907078743,
0.0407264418900013,
0.03161242604255676,
0.012213657610118389,
-0.012835336849093437,
-0.01818770356476307,
-0.05152444168925285,
0.05802180618047714,
0.014982872642576694,
-0.021125080063939095,
0.01243546325713396,
0.034... |
Ayran/DialoGPT-small-gandalf | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
license: bsd-3-clause
pipeline_tag: image-to-image
---
# RealESRGAN MtG
Fine-tuned RealESRGAN_x2plus model trained on MtG Card Art intended for upscaling Scryfall art crops with built-in rosetta/halftone artifact removal and preservation of art style.
<img src="https://huggingface.co/rullaf/RealESRGAN_MtG/resolv... | [
-0.005405850242823362,
-0.015349261462688446,
-0.010344449430704117,
0.023670600727200508,
0.04283202812075615,
0.0066144755110144615,
-0.012065183371305466,
-0.008270980790257454,
-0.002628190442919731,
0.0470220148563385,
0.03933689370751381,
0.011243422515690327,
-0.0052547696977853775,
... |
Ayu/Shiriro | [] | 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: kobart_64x2_5e-5_datav2_min30_lp5.0_temperature1.0
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... | [
-0.04587211459875107,
-0.012531202286481857,
-0.01302923634648323,
0.032830800861120224,
0.02613043412566185,
0.009456244297325611,
-0.017750462517142296,
0.007917238399386406,
-0.06577927619218826,
0.05371931195259094,
0.012031502090394497,
-0.009564743377268314,
0.02505991980433464,
0.04... |
AyushPJ/ai-club-inductions-21-nlp-ALBERT | [
"pytorch",
"albert",
"question-answering",
"transformers",
"generated_from_trainer",
"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... | 8 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.04994555935263634,
-0.01631731353700161,
-0.008418618701398373,
0.03630432114005089,
0.04063033312559128,
0.0023479911033064127,
-0.02097703330218792,
-0.010762469843029976,
-0.03781420364975929,
0.05720288306474686,
0.024563822895288467,
-0.003237740835174918,
0.03180135414004326,
0.00... |
AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad | [
"pytorch",
"electra",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"ElectraForQuestionAnswering"
],
"model_type": "electra",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 12 | 2023-01-27T09:04:18Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- caner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner-v2.2
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: caner
type: caner
config: defaul... | [
0.005966798402369022,
0.008254600688815117,
-0.008516373112797737,
0.041036512702703476,
0.03605547919869423,
0.014386293478310108,
-0.024122880771756172,
-0.04620819166302681,
-0.03747674077749252,
0.05214359238743782,
0.01898355595767498,
-0.024970559403300285,
0.02125675044953823,
0.035... |
AyushPJ/ai-club-inductions-21-nlp-XLNet | [
"pytorch",
"xlnet",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLNetForQuestionAnsweringSimple"
],
"model_type": "xlnet",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_... | 9 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: turkishReviews-ds-mini2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# turkishReviews-ds... | [
-0.022383030503988266,
-0.011767914518713951,
-0.003629340324550867,
0.03476801887154579,
0.025889592245221138,
0.008805823512375355,
-0.019736267626285553,
0.004564102739095688,
-0.042383432388305664,
0.06948811560869217,
0.018584636971354485,
-0.027866801247000694,
0.010197948664426804,
... |
AyushPJ/ai-club-inductions-21-nlp-roBERTa | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
-0.05188177153468132,
0.008366835303604603,
-0.008583493530750275,
0.0586739182472229,
0.027917779982089996,
0.030489055439829826,
-0.00527842016890645,
-0.035221073776483536,
-0.004125155508518219,
0.05187084525823593,
0.01757041923701763,
-0.01409544050693512,
0.008583863265812397,
0.025... |
Azuris/DialoGPT-medium-envy | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: mbart-en-to-amr
results: []
language:
- en
inference: false
---
<!-- 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 t... | [
-0.026267938315868378,
0.005737587809562683,
-0.0250993799418211,
0.06513669341802597,
0.029626086354255676,
0.024623850360512733,
-0.021345680579543114,
-0.01804126240313053,
-0.03490332514047623,
0.05507202446460724,
0.03554767370223999,
-0.0220248531550169,
0.010143332183361053,
0.03746... |
BE/demo-sentiment2021 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T09:56:12Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: kobart_4_5.6e-5_datav2_min30_lp5.0_temperature1.0
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 rem... | [
-0.028953246772289276,
-0.011985398828983307,
-0.010761302895843983,
0.035621680319309235,
0.035307396203279495,
0.0049702743999660015,
-0.027261637151241302,
0.00020556681556627154,
-0.06384982168674469,
0.05466844514012337,
-0.0018540216842666268,
-0.024339521303772926,
0.02734781429171562... |
BJTK2/model_name | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T09:59:07Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wl-disease
model-index:
- name: WL_DISEASE_NER_v1
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. -... | [
-0.01072312705218792,
-0.01154355425387621,
-0.0048936037346720695,
0.01769426465034485,
0.03705737739801407,
0.018142230808734894,
-0.0021988488733768463,
-0.01990254409611225,
-0.0182864461094141,
0.045175496488809586,
0.030493238940835,
-0.031487949192523956,
-0.006863664370030165,
0.04... |
BSC-LT/gpt2-large-bne | [
"pytorch",
"gpt2",
"text-generation",
"es",
"dataset:bne",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"license:apache-2.0"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- caner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner-v2.4
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: caner
type: caner
config: defaul... | [
0.006105140317231417,
0.008920940570533276,
-0.0074639227241277695,
0.0399334654211998,
0.035643570125103,
0.013801471330225468,
-0.024491673335433006,
-0.04705905169248581,
-0.03765342757105827,
0.05139591917395592,
0.018838297575712204,
-0.02491075173020363,
0.021346913650631905,
0.03552... |
BSC-LT/roberta-base-ca | [
"pytorch",
"roberta",
"fill-mask",
"ca",
"transformers",
"masked-lm",
"BERTa",
"catalan",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 18 | 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
... | [
-0.020107340067625046,
-0.014878718182444572,
-0.006364795845001936,
0.02707250975072384,
0.0442427434027195,
0.00048799635260365903,
-0.02016633190214634,
0.007262472063302994,
-0.034609995782375336,
0.05300004407763481,
0.016728557646274567,
-0.006253391969949007,
0.012802759185433388,
0... |
BW/TEST | [
"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... | 14 | null | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- bleu
model-index:
- name: 5ep-5e-5-0.01n-lit
results: []
inference: false
---
<!-- 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.... | [
-0.02105935662984848,
0.0012632125290110707,
-0.016410769894719124,
0.059776950627565384,
0.030687352642416954,
0.02488398179411888,
-0.02272946760058403,
-0.017910342663526535,
-0.034917280077934265,
0.05982111394405365,
0.03006836399435997,
-0.023870473727583885,
0.0059915571473538876,
0... |
Backedman/DialoGPT-small-Anika | [
"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... | 6 | 2023-01-27T11:05:01Z | ---
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
... | [
-0.03758688643574715,
-0.0031138279009610415,
-0.005499477032572031,
0.02558479644358158,
0.0450713224709034,
-0.02115803398191929,
-0.0053443629294633865,
-0.02737920917570591,
-0.03289760649204254,
0.06657934933900833,
0.03223581612110138,
-0.02342926897108555,
0.022974418476223946,
0.00... |
Badr/model1 | [] | 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:
- text-classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: course-distilroberta-base-mrpc-glue
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config... | [
-0.022338202223181725,
-0.0004134116170462221,
-0.015233824029564857,
0.03202737122774124,
0.07219452410936356,
0.03339598700404167,
-0.0034918366000056267,
-0.014376724138855934,
-0.04790451005101204,
0.05861108750104904,
0.01043827086687088,
-0.023934388533234596,
-0.0014621815644204617,
... |
Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition | [
"pytorch",
"tensorboard",
"wav2vec2",
"el",
"dataset:aesdd",
"transformers",
"audio",
"audio-classification",
"speech",
"license:apache-2.0"
] | audio-classification | {
"architectures": [
"Wav2Vec2ForSpeechClassification"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"... | 21 | null | ---
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- aihub_paper_summarization
metrics:
- rouge
model-index:
- name: pko-t5-small-finetuned-paper-4564652
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: aihub_paper_summarizati... | [
-0.008918180130422115,
-0.02582540549337864,
-0.006022757850587368,
0.05473704636096954,
0.040668830275535583,
0.008260265924036503,
-0.015339046716690063,
-0.02528030425310135,
-0.06964322924613953,
0.0606243796646595,
0.018024150282144547,
-0.012691552750766277,
0.00018118665320798755,
0... |
Bala/model_name | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.04530138522386551,
-0.0013150814920663834,
-0.0219957884401083,
0.03240931034088135,
0.043521542102098465,
0.01774672605097294,
-0.018456190824508667,
-0.030653107911348343,
-0.036839548498392105,
0.06912233680486679,
0.0216758344322443,
0.003005778882652521,
0.015455067157745361,
0.027... |
Banshee/dialoGPT-luke-small | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.0292340237647295,
0.01823023334145546,
0.003660630900412798,
0.009176398627460003,
0.04400138556957245,
-0.01899772323668003,
-0.021622175350785255,
-0.015784479677677155,
-0.029898837208747864,
0.0846095085144043,
0.01731882616877556,
-0.008446605876088142,
0.017369555309414864,
0.0164... |
Banshee/dialoGPT-small-luke | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T11:33:58Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: lisdusk1
---
### DuskfallAi Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` ... | [
-0.04118943214416504,
-0.027492420747876167,
-0.01460121851414442,
0.030787046998739243,
0.046555545181035995,
0.018187321722507477,
-0.004875902086496353,
-0.0002912940690293908,
-0.010348739102482796,
0.060859207063913345,
0.05083490163087845,
-0.002900117076933384,
-0.02886815369129181,
... |
Barbarameerr/Barbara | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T11:50:33Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: kobart_16_5.6e-5_datav2_min30_lp5.0_temperature1.0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | [
-0.030093055218458176,
-0.011937446892261505,
-0.009228934533894062,
0.03625713288784027,
0.036037150770425797,
0.0036200282629579306,
-0.026463158428668976,
0.0010318633867427707,
-0.0627678632736206,
0.055268749594688416,
-0.001759860198944807,
-0.023849578574299812,
0.024953242391347885,
... |
Barkavi/totto-t5-base-bert-score-121K | [
"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... | 51 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: kobart_64_6e-5_datav2_min30_lp5.0_temperature1.0
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. ... | [
-0.045728206634521484,
-0.01272054947912693,
-0.012611840851604939,
0.032005034387111664,
0.028477445244789124,
0.004948013927787542,
-0.01704326458275318,
0.007611904293298721,
-0.06591972708702087,
0.05540657415986061,
0.012817983515560627,
-0.010863947682082653,
0.028064318001270294,
0.... |
Barleysack/AERoberta | [
"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... | 7 | 2023-01-27T11:56:19Z | ---
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
... | [
-0.03763464465737343,
-0.002360721817240119,
-0.00508822500705719,
0.026024427264928818,
0.04618241265416145,
-0.021494703367352486,
-0.005489913281053305,
-0.02765480987727642,
-0.03293317183852196,
0.0666939839720726,
0.03300158679485321,
-0.02276555262506008,
0.022018786519765854,
0.001... |
Barleysack/AERoberta2 | [
"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... | 2 | 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... | [
-0.01789393275976181,
-0.01820390298962593,
-0.006691052578389645,
0.029999934136867523,
0.05140676349401474,
-0.01781451515853405,
-0.011443198658525944,
-0.008789259940385818,
-0.05938953906297684,
0.054517000913619995,
-0.0023963996209204197,
-0.008984090760350227,
0.025226689875125885,
... |
Barleysack/klue-roberta-LSTM | [
"pytorch",
"roberta",
"transformers"
] | null | {
"architectures": [
"QAWithLSTMModel"
],
"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_s... | 6 | 2023-01-27T12:01:10Z | ---
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
... | [
-0.03745092451572418,
-0.003158383071422577,
-0.00528213893994689,
0.025552503764629364,
0.045537032186985016,
-0.02154211513698101,
-0.0054782782681286335,
-0.027525899931788445,
-0.03320341929793358,
0.06639324128627777,
0.03215045481920242,
-0.02338278852403164,
0.022700956091284752,
0.... |
Batsy24/DialoGPT-medium-Twilight_BellaBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | 2023-01-27T12:05:52Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: taxiv1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.46 +/- 2.82
... | [
-0.02052338235080242,
-0.015918945893645287,
-0.006840534973889589,
0.02787730284035206,
0.04541990906000137,
-0.002629019320011139,
-0.019462767988443375,
0.008430211804807186,
-0.03721601888537407,
0.05287778750061989,
0.01611635647714138,
-0.007272991351783276,
0.013175051659345627,
0.0... |
Battlehooks/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 | 2023-01-27T12:20:38Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-sroie_300
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. -->
... | [
-0.03892846405506134,
-0.014308828860521317,
-0.002491639694198966,
0.04463779926300049,
0.029433390125632286,
0.0029535701032727957,
0.014039317145943642,
-0.001700365450233221,
-0.025997444987297058,
0.028702879324555397,
0.04624464362859726,
-0.02816510759294033,
0.01869671791791916,
0.... |
BatuhanYilmaz/bert-finetuned-nerxD | [] | 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: unlicense
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
t-art-scratch-v1.5
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('traiantitilincu/t-art-scratch-v1.5')
image = pipeline().images[0]
image
```
| [
0.007086826954036951,
-0.026499440893530846,
0.015528025105595589,
0.042148783802986145,
0.05208267644047737,
0.010857457295060158,
0.006800184026360512,
0.00502077816054225,
-0.007556706666946411,
0.051174748688936234,
-0.008342036977410316,
-0.005257422104477882,
-0.01131676509976387,
0.... |
BatuhanYilmaz/distilbert-base-uncased-finetuned-squad-d5716d28 | [
"pytorch",
"distilbert",
"fill-mask",
"en",
"dataset:squad",
"arxiv:1910.01108",
"transformers",
"question-answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 18 | null | ---
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_file: model.pkl
widget:
structuredData:
angel_n_rounds:
- 0.0
- 0.0
- 0.0
pre_seed_n_rounds:
- 0.0
- 0.0
- 0.0
seed_funding:
- 1250000.0
- 800000.0
- 8000000.0
seed_n_rounds:
- 1.0
... | [
-0.028827190399169922,
-0.02747901901602745,
-0.015673918649554253,
0.030245106667280197,
0.026929059997200966,
0.009946971200406551,
-0.013993456959724426,
0.007854665629565716,
-0.06339660286903381,
0.06465011090040207,
0.026914207264780998,
-0.0241324994713068,
0.005061332136392593,
0.0... |
BatuhanYilmaz/marian-finetuned-kde4-en-to-fr | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T12:48:38Z | ---
license: apache-2.0
datasets:
- gsm8k
language:
- en
--- | [
-0.023216471076011658,
-0.02642202004790306,
-0.0020165618043392897,
0.0043104952201247215,
0.06189850717782974,
0.0009622697252780199,
-0.004003588110208511,
0.02546112984418869,
-0.0368729829788208,
0.03931913152337074,
0.02493523806333542,
0.0017131927888840437,
0.05730491504073143,
0.0... |
Baybars/debateGPT | [] | 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 Stereo0001/FDDF is restricted and you are not in the authorized list. Visit https://huggingface.co/Stereo0001/FDDF to ask for access. | [
-0.05584878847002983,
0.0001809503010008484,
-0.005156250670552254,
0.03136811405420303,
0.04581178352236748,
0.011481826193630695,
-0.011335131712257862,
0.007213251199573278,
-0.05695892125368118,
0.042832985520362854,
0.03896864503622055,
-0.009725549258291721,
0.013866924680769444,
0.0... |
Baybars/wav2vec2-xls-r-300m-cv8-turkish | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"common_voice",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 5 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: kobart_64_1e-4_datav2_min30_lp5.0_temperature1.0
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. ... | [
-0.04730432480573654,
-0.010844351723790169,
-0.01583690010011196,
0.032375767827034,
0.02810530737042427,
0.006505692843347788,
-0.015570065006613731,
0.009088411927223206,
-0.0660819336771965,
0.05614893138408661,
0.010688467882573605,
-0.009310072287917137,
0.02971697598695755,
0.044778... |
BeIR/sparta-msmarco-distilbert-base-v1 | [
"pytorch",
"distilbert",
"feature-extraction",
"arxiv:2009.13013",
"arxiv:2104.08663",
"transformers"
] | feature-extraction | {
"architectures": [
"DistilBertModel"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 106 | 2023-01-27T13:04:31Z | ---
task: reinforcement-learning
library_name: ml-agents
tags:
- ML-Agents-SoccerTwos
- reinforcement-learning
--- | [
-0.01779499463737011,
0.00874767079949379,
0.012318028137087822,
0.02199670858681202,
0.04290907457470894,
-0.01584746316075325,
-0.044708479195833206,
-0.006842001341283321,
-0.01799166016280651,
0.057648394256830215,
0.02069212682545185,
0.009372291155159473,
0.004899602383375168,
0.0310... |
BearThreat/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,
... | 30 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.050222449004650116,
-0.015871243551373482,
-0.008759989403188229,
0.03645004704594612,
0.04082672670483589,
0.002240950707346201,
-0.021282372996211052,
-0.011237377300858498,
-0.037109918892383575,
0.05737923085689545,
0.024562349542975426,
-0.003572556423023343,
0.0318257175385952,
0.... |
Bee-Garbs/DialoGPT-cartman-small | [] | 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
---
https://civitai.com/models/5415/cornflower-stylized-anime-model | [
-0.025499390438199043,
-0.0091553945094347,
-0.011265705339610577,
0.022258445620536804,
0.040545493364334106,
-0.000994463567622006,
-0.018958067521452904,
-0.006608746945858002,
0.004433103371411562,
0.0631890669465065,
0.04931751266121864,
0.007237331476062536,
0.03376574069261551,
0.02... |
Begimay/Task | [] | 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 | ---
task: reinforcement-learning
library_name: ml-agents
tags:
- ML-Agents-SoccerTwos
- reinforcement-learning
--- | [
-0.01779499463737011,
0.00874767079949379,
0.012318028137087822,
0.02199670858681202,
0.04290907457470894,
-0.01584746316075325,
-0.044708479195833206,
-0.006842001341283321,
-0.01799166016280651,
0.057648394256830215,
0.02069212682545185,
0.009372291155159473,
0.004899602383375168,
0.0310... |
BenDavis71/GPT-2-Finetuning-AIRaid | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2023-01-27T13:49:20Z | ---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-whole-word-masking-squad2-finetuned-islamic-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... | [
-0.012779129669070244,
0.0018260841025039554,
-0.01720021851360798,
0.05342606455087662,
0.04273643344640732,
0.0064526693895459175,
-0.018918221816420555,
-0.007315149065107107,
-0.01187276840209961,
0.04855174198746681,
0.01109391637146473,
-0.0002339355123694986,
0.021184217184782028,
0... |
Benicio/t5-small-finetuned-en-to-ro | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T15:55:08Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: beit
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. -->
# beit
This model is a fine-tun... | [
-0.04155246540904045,
0.009337479248642921,
-0.011726646684110165,
0.028769120573997498,
0.021741854026913643,
0.012429038062691689,
0.02207326516509056,
-0.020191678777337074,
-0.03772163763642311,
0.04773896187543869,
0.015650348737835884,
-0.017111603170633316,
0.01554140541702509,
0.03... |
Betaniaolivo/Foto | [] | 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_keras_callback
model-index:
- name: dummy-model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dummy-model
This model is a ... | [
-0.060522615909576416,
-0.00696343369781971,
-0.0004650277260225266,
0.03370450437068939,
0.028034893795847893,
0.02241699770092964,
-0.009962975047528744,
0.004241591785103083,
-0.033939629793167114,
0.045456234365701675,
0.01632883958518505,
-0.025193098932504654,
0.014576408080756664,
0... |
Bharathdamu/wav2vec2-large-xls-r-300m-hindi2-colab | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: final_bart
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. -->
# final_bart
Th... | [
-0.01970616728067398,
-0.015328902751207352,
-0.007440031040459871,
0.04267624020576477,
0.025910671800374985,
0.011341852135956287,
-0.027049772441387177,
-0.005124922841787338,
-0.045370619744062424,
0.053540024906396866,
0.010196996852755547,
-0.03233372047543526,
0.0189361609518528,
0.... |
Bharathdamu/wav2vec2-model-hindi-stt | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T14:24:42Z | ---
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... | [
-0.017957311123609543,
-0.017535006627440453,
-0.004590312484651804,
0.030670031905174255,
0.0524289570748806,
-0.01824711263179779,
-0.012392708100378513,
-0.008894803933799267,
-0.058273326605558395,
0.05341922119259834,
-0.002035180339589715,
-0.010413686744868755,
0.023941025137901306,
... |
Bhuvana/t5-base-spellchecker | [
"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... | 93 | 2023-01-27T14:30:56Z | ---
tags:
- generated_from_trainer
model-index:
- name: digikala_products_parsbert_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# digikala_products_pars... | [
-0.02393784187734127,
-0.006311704870313406,
-0.00813156645745039,
0.016344567760825157,
0.03244584798812866,
0.023780908435583115,
-0.007940289564430714,
-0.012693655677139759,
-0.038471486419439316,
0.06774310022592545,
0.019859690219163895,
-0.052895866334438324,
0.010756486095488071,
0... |
Biasface/DDDC2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2023-01-27T14:33:51Z | ---
license: cc-by-nc-4.0
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
---
# Anmokomergetest1
Anmokomergetest1 is a **merged** stable diffusion model specializes in **anime**, and can generate **vivid** and **detailed** also **wide range** anime pictures in **high quality** even with ... | [
-0.009179837070405483,
-0.033806029707193375,
0.013990734703838825,
0.04417984560132027,
0.045517705380916595,
-0.00853769201785326,
0.026669824495911598,
-0.023272210732102394,
-0.030252501368522644,
0.06407246738672256,
0.02142971195280552,
0.007465925067663193,
0.036161839962005615,
0.0... |
BigBoy/model | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T14:49:47Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.0292340237647295,
0.01823023334145546,
0.003660630900412798,
0.009176398627460003,
0.04400138556957245,
-0.01899772323668003,
-0.021622175350785255,
-0.015784479677677155,
-0.029898837208747864,
0.0846095085144043,
0.01731882616877556,
-0.008446605876088142,
0.017369555309414864,
0.0164... |
BigSalmon/BertaMyWorda | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 8 | 2023-01-27T14:50:32Z | ---
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... | [
-0.015523955225944519,
-0.017031462863087654,
-0.005197414197027683,
0.028493240475654602,
0.05167297646403313,
-0.017467442899942398,
-0.012296942993998528,
-0.008425535634160042,
-0.05966916307806969,
0.055080510675907135,
-0.0028450523968786,
-0.010557163506746292,
0.025152716785669327,
... |
BigSalmon/BlankSlots | [
"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... | 4 | 2023-01-27T14:55:06Z | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type:... | [
-0.0292340237647295,
0.01823023334145546,
0.003660630900412798,
0.009176398627460003,
0.04400138556957245,
-0.01899772323668003,
-0.021622175350785255,
-0.015784479677677155,
-0.029898837208747864,
0.0846095085144043,
0.01731882616877556,
-0.008446605876088142,
0.017369555309414864,
0.0164... |
BigSalmon/Flowberta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 13 | 2023-01-27T15:02:49Z | ---
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... | [
-0.016170285642147064,
-0.019181011244654655,
-0.007939955219626427,
0.031949982047080994,
0.050361573696136475,
-0.016120849177241325,
-0.011412116698920727,
-0.012386448681354523,
-0.05678475648164749,
0.05475153028964996,
-0.0017970032058656216,
-0.00890977494418621,
0.02508801408112049,
... |
BigSalmon/FormalBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 10 | null | ---
license: apache-2.0
tags:
- endpoints-template
---
# FORK of FLAN-T5 XXL
> This is a fork of google/flan-t5-xxl implementing a custom `handler.py` as an example for how to use t5-11b with inference-endpoints on a single NVIDIA A10G.
You can deploy the flan-t5-xxl with a [1-click](https://ui.endpoints.huggingfa... | [
-0.024612965062260628,
-0.0021180722396820784,
0.005055795423686504,
0.031228791922330856,
0.017864296212792397,
0.012815450318157673,
-0.01012477744370699,
-0.0076426235027611256,
-0.015114854089915752,
0.03918096795678139,
0.013231619261205196,
-0.014694958925247192,
0.016925880685448647,
... |
BigSalmon/FormalBerta3 | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 4 | 2023-01-27T15:08:33Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
library_name: ml-agents
---
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget** using... | [
-0.031870268285274506,
-0.002835030434653163,
-0.019283421337604523,
0.051437560468912125,
0.03971903398633003,
0.026195267215371132,
-0.0010994719341397285,
-0.03676989674568176,
-0.028190288692712784,
0.048365168273448944,
0.023311935365200043,
-0.006044636946171522,
0.020299065858125687,
... |
BigSalmon/FormalRobertaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | 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 | 2023-01-27T15:08:51Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3_v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.7... | [
-0.018584290519356728,
-0.016926513984799385,
-0.009214237332344055,
0.02795489877462387,
0.04610571265220642,
0.0008517825044691563,
-0.018512621521949768,
0.0026301483158022165,
-0.034553270787000656,
0.05594581365585327,
0.016653696075081825,
-0.005639495328068733,
0.012302877381443977,
... |
BigSalmon/GPT2HardArticleEasyArticle | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | 2023-01-27T15:20:56Z |
---
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... | [
-0.0419902503490448,
-0.0006738178781233728,
-0.007629637140780687,
0.049105413258075714,
0.02871222048997879,
0.022339778020977974,
-0.025304468348622322,
-0.03741641715168953,
-0.006273017264902592,
0.04893546178936958,
0.017995595932006836,
-0.009438814595341682,
0.02016579359769821,
0.... |
BigSalmon/GPTHeHe | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- image-to-image
- art
- artistic
- dreambooth
---
# spop style
This model features four different concepts: humans, outer space, forests, and landscapes in the specific style of SPOP: She-Ra and the P... | [
-0.006899623665958643,
-0.019824594259262085,
-0.031058523803949356,
0.042798954993486404,
0.0348314605653286,
0.018916428089141846,
-0.0075090499594807625,
0.011604380793869495,
-0.014516367577016354,
0.058125291019678116,
0.032454174011945724,
-0.028213655576109886,
0.026009520515799522,
... |
BigSalmon/GPTNeo350MInformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 8 | 2023-01-27T15:23:41Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Taxi-v3_v1_1M
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- ... | [
-0.018451448529958725,
-0.017740825191140175,
-0.009913789108395576,
0.02863207273185253,
0.046271879225969315,
0.0014615710824728012,
-0.018633196130394936,
0.00171278091147542,
-0.03519998490810394,
0.056528642773628235,
0.017632702365517616,
-0.005585615057498217,
0.011920223943889141,
... |
BigSalmon/GPTNeo350MInformalToFormalLincoln2 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 8 | 2023-01-27T15:31:04Z | ---
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... |
BigSalmon/GPTNeo350MInformalToFormalLincoln3 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 10 | 2023-01-27T15:33:18Z | ---
language: en
thumbnail: http://www.huggingtweets.com/kaiseaanahuaaa-weird_on3/1674833638204/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-ri... | [
-0.0051769050769507885,
-0.04568037390708923,
0.002227184595540166,
0.04130994528532028,
0.048269931226968765,
0.01000000350177288,
-0.020509148016572,
-0.005157062318176031,
-0.03377740830183029,
0.03870345652103424,
0.019402919337153435,
-0.004478400107473135,
-0.011224902234971523,
0.02... |
BigSalmon/GPTNeo350MInformalToFormalLincoln4 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 11 | 2023-01-27T15:34:25Z | ---
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
... | [
-0.03736184164881706,
-0.002929999493062496,
-0.0050467331893742085,
0.025545749813318253,
0.04513763636350632,
-0.021411294117569923,
-0.005100784357637167,
-0.027678389102220535,
-0.033786341547966,
0.06663140654563904,
0.03275659307837486,
-0.0234393160790205,
0.022653967142105103,
0.00... |
BigSalmon/GPTNeo350MInformalToFormalLincoln5 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram... | 11 | 2023-01-27T15:40:40Z | ---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: deepset_deberta-v3-large-squad2_1.23e-04_9.40e-02_8_512_7
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove... | [
-0.02434598095715046,
-0.0250825397670269,
-0.01884552836418152,
0.03426920622587204,
0.04262261837720871,
0.023345552384853363,
-0.027596792206168175,
-0.010949878953397274,
-0.033687327057123184,
0.053807493299245834,
0.029597526416182518,
-0.020940622314810753,
0.01792999729514122,
0.04... |
BigSalmon/InfillFormalLincoln | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8 | 2023-01-27T15:53:05Z |
---
license: creativeml-openrail-m
base_model: CompVis/stable-diffusion-v1-4
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# KerasCV Stable Diffusion in Diffusers ๐งจ๐ค
The pipeline contained in this repository was created using [this Space](https://huggingf... | [
-0.03929443657398224,
-0.015206517651677132,
-0.01281818374991417,
-0.000421905773691833,
0.03309890627861023,
0.0035491292364895344,
-0.00044658416300080717,
-0.0004502817173488438,
-0.02509910985827446,
0.05480765178799629,
0.01018607895821333,
0.01135611068457365,
0.02675175480544567,
0... |
BigSalmon/MrLincoln11 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | 2023-01-27T16:39:48Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: bert-finetuned-ner-ubb-conll-endava-only-misc-v2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this c... | [
-0.020486462861299515,
-0.007818053476512432,
0.00008418053039349616,
0.011565549299120903,
0.0432058721780777,
0.010466218926012516,
-0.024205420166254044,
-0.03637475147843361,
-0.04728873446583748,
0.052801769226789474,
0.014808055013418198,
-0.02263532392680645,
0.029617654159665108,
0... |
BigSalmon/Rowerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 4 | 2023-01-27T17:40:16Z |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
library_name: ultralytics
library_version: 8.0.21
inference: false
model-index:
- name: uisikdag/fogsmog_v8
results:
- task:
type: image-classification
metrics:
- type: accuracy
value: 0.... | [
0.0018031155923381448,
-0.01967366598546505,
0.007116141729056835,
0.02107366733253002,
0.061010219156742096,
0.002827099058777094,
-0.02530837059020996,
-0.01529405266046524,
-0.026693986728787422,
0.06655646860599518,
0.0322401188313961,
0.015592380426824093,
-0.005903123412281275,
0.052... |
Bimal/my_bot_model | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2023-01-27T18:13:39Z | ---
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
... | [
-0.03738822788000107,
-0.002846695948392153,
-0.004757636692374945,
0.025637472048401833,
0.045476481318473816,
-0.021282490342855453,
-0.005458876024931669,
-0.027763398364186287,
-0.03310539573431015,
0.06662040203809738,
0.032043736428022385,
-0.02332748845219612,
0.0231695044785738,
0.... |
Brunomezenga/NN | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T21:16:46Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: ppo-mlp
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2... | [
-0.0399680994451046,
-0.0019350395305082202,
-0.003234932664781809,
0.025926925241947174,
0.03852880373597145,
-0.019824646413326263,
-0.007505956571549177,
-0.025077002122998238,
-0.03148987889289856,
0.06612800061702728,
0.03347368538379669,
-0.023781312629580498,
0.021404018625617027,
-... |
Brykee/DialoGPT-medium-Morty | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | 2023-01-27T21:47:23Z | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for davit_base.msft_in1k
A DaViT image classification model. Trained on ImageNet-1k by paper authors.
Thanks to [Fredo Guan](https://github.com/fffffgggg54) for bringing the classification backbone t... | [
-0.016800692304968834,
-0.029566962271928787,
0.008449871093034744,
0.0285979975014925,
0.03162192180752754,
0.006698170211166143,
-0.00824704673141241,
-0.009435811080038548,
-0.00040547698154114187,
0.047441985458135605,
0.023363979533314705,
-0.012497358955442905,
-0.00043913113768212497,... |
Bubb-les/DisloGPT-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... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xnli
model-index:
- name: bert-base-arabic-camelbert-msa-sixteenth-xnli-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | [
-0.019243428483605385,
0.009829056449234486,
-0.02269374206662178,
0.04162782058119774,
0.03636430576443672,
0.02483058162033558,
-0.01880509778857231,
-0.01871001161634922,
-0.02786635048687458,
0.051923368126153946,
0.00416217977181077,
-0.04427581652998924,
0.018123893067240715,
0.02569... |
BumBelDumBel/ZORK_AI_SCIFI | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class ๐งจ](https://github.com/huggingface/diffusion-models-class)
Finetuning_Model_1
## Usage
```python
from diffusers import DDPMPipeline
pipelin... | [
-0.004842645954340696,
-0.020514369010925293,
0.014499618671834469,
0.02387627772986889,
0.03527257218956947,
0.011949948966503143,
0.0030471861828118563,
-0.001969710923731327,
-0.010575579479336739,
0.05144321173429489,
0.012975352816283703,
0.00635899044573307,
0.029164930805563927,
0.0... |
Buntan/BuntanAI | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-27T22:08:27Z | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semanti... | [
-0.02595643140375614,
-0.025189900770783424,
-0.01938711106777191,
0.061510179191827774,
0.030118998140096664,
0.03270823135972023,
-0.017347808927297592,
0.009253193624317646,
-0.06451637297868729,
0.08125108480453491,
0.029340393841266632,
0.013155540451407433,
0.007020177785307169,
0.03... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"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... | 42 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: UNEDMediaBiasTeam_at_SemEval23_Task3_Subtask3_PRE_BABE_dataset
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comp... | [
-0.017896614968776703,
-0.011758220382034779,
-0.020977014675736427,
0.04286988079547882,
0.04434505105018616,
0.018731821328401566,
-0.029972072690725327,
-0.005364946089684963,
-0.04143499955534935,
0.05321116000413895,
0.011536533012986183,
-0.025931449607014656,
0.01983959972858429,
0.... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 18 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Goodreads_Books_Reviews_ALBERT
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove ... | [
-0.02449689991772175,
-0.01053768303245306,
-0.022555431351065636,
0.04820699244737625,
0.03133329749107361,
0.004240586422383785,
-0.02430972456932068,
-0.018167022615671158,
-0.05756479874253273,
0.061332207173109055,
0.055416040122509,
-0.00721914554014802,
0.00560431694611907,
0.031667... |
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-msa | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 71 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Goodreads_Books_Reviews_BERT_50
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove... | [
-0.012658433057367802,
0.005127363372594118,
-0.02091926895081997,
0.03756505250930786,
0.02198716439306736,
0.006142504047602415,
-0.037307512015104294,
-0.023299554362893105,
-0.06172441318631172,
0.05713745579123497,
0.035554517060518265,
-0.017724039033055305,
0.01854776404798031,
0.03... |
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"has_space"
] | 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... | 19,850 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-wikisql
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. -->
# t5-small... | [
-0.005186428781598806,
-0.01193108968436718,
0.016464395448565483,
0.01213119924068451,
0.020863249897956848,
-0.0016613972838968039,
-0.02491314522922039,
-0.0008479799143970013,
-0.03210936114192009,
0.04713929444551468,
0.016157153993844986,
-0.02000199258327484,
0.01548459567129612,
0.... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"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... | 45 | null | Access to model SomyaDnD/DnDDragonborn is restricted and you are not in the authorized list. Visit https://huggingface.co/SomyaDnD/DnDDragonborn to ask for access. | [
-0.05046200007200241,
-0.007405460346490145,
0.014708179049193859,
0.008625652641057968,
0.04507514461874962,
0.01312572043389082,
-0.007169083692133427,
-0.004691291134804487,
-0.03360780328512192,
0.027593618258833885,
0.09062886238098145,
-0.011800525709986687,
0.043921250849962234,
0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"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... | 34 | null |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-classification
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/chest-xray-classification
model-index:
- name: keremberke/yolov8s-chest-xray-classification
results:... | [
-0.020102648064494133,
-0.016252245754003525,
0.027330147102475166,
0.03583438694477081,
0.0482775941491127,
0.0061217485927045345,
-0.025592545047402382,
-0.03063851408660412,
-0.025491895154118538,
0.04805198311805725,
0.016052065417170525,
0.00978704635053873,
-0.009603781625628471,
0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"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... | 31 | null | ---
library_name: stable-baselines3
tags:
- AntBulletEnv-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: AntBulletEnv-v0
type: AntBulletEnv-v0
... | [
-0.045868873596191406,
-0.0017722515622153878,
-0.022053256630897522,
0.0323161743581295,
0.043856170028448105,
0.01811547949910164,
-0.018541041761636734,
-0.030283942818641663,
-0.03662000223994255,
0.06913220882415771,
0.021702958270907402,
0.0032295119017362595,
0.01567140780389309,
0.... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 62 | 2023-01-27T23:09:27Z | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: bald-or-not
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.30337077379226685
---
# bald or not?
Autoge... | [
-0.021139152348041534,
-0.006443012971431017,
0.012887289747595787,
0.03460928797721863,
0.0175260491669178,
-0.004332114011049271,
-0.0354589968919754,
0.0026341071352362633,
0.004876210354268551,
0.03725629672408104,
0.008058891631662846,
0.007321900688111782,
0.02251756563782692,
0.0470... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 132 | null | Access to model kazimurtaza/homebase is restricted and you are not in the authorized list. Visit https://huggingface.co/kazimurtaza/homebase to ask for access. | [
-0.052798282355070114,
-0.035865627229213715,
0.012704347260296345,
0.024698080494999886,
0.031762752681970596,
0.01118199247866869,
0.0017418465577065945,
0.0141453193500638,
-0.03286430984735489,
0.04494228586554527,
0.05470266193151474,
-0.020599693059921265,
0.01195976510643959,
0.0505... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 1,862 | 2023-01-27T23:19:08Z | ---
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
... | [
-0.037543099373579025,
-0.0028001281898468733,
-0.0049761077389121056,
0.025524646043777466,
0.045369576662778854,
-0.021355226635932922,
-0.005371148232370615,
-0.027831515297293663,
-0.03345966339111328,
0.06680972129106522,
0.03221813961863518,
-0.02376263216137886,
0.023041928187012672,
... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"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... | 855 | null | Access to model Pedrambbk/T5-base-poll-generation is restricted and you are not in the authorized list. Visit https://huggingface.co/Pedrambbk/T5-base-poll-generation to ask for access. | [
-0.03965432941913605,
-0.0022559785284101963,
0.012361946515738964,
0.009166090749204159,
0.034163154661655426,
0.0012469858629629016,
0.006876405328512192,
-0.009221872314810753,
-0.03469380736351013,
0.044842060655355453,
0.060551274567842484,
-0.022506454959511757,
-0.010824328288435936,
... |
CAMeL-Lab/bert-base-arabic-camelbert-mix | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"Arabic",
"Dialect",
"Egyptian",
"Gulf",
"Levantine",
"Classical Arabic",
"MSA",
"Modern Standard Arabic",
"license:apache-2.0",
"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... | 20,880 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... | [
-0.025737086310982704,
-0.00890886690467596,
-0.03293715789914131,
0.04772990942001343,
0.06048882007598877,
0.03022516891360283,
-0.03232823312282562,
0.006048598792403936,
-0.03142589330673218,
0.04528062045574188,
0.04750165715813637,
-0.015418549068272114,
0.020375927910208702,
0.04050... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-eighth | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"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... | 21 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.04991639778017998,
-0.016055559739470482,
-0.00870971754193306,
0.03624705225229263,
0.04077496379613876,
0.00312236906029284,
-0.02141008898615837,
-0.01024022325873375,
-0.03782957047224045,
0.057220831513404846,
0.02457026205956936,
-0.003113444661721587,
0.03164346516132355,
0.00283... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-half | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"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... | 16 | null | Access to model dandyonrocks/sd1.5_vibs2 is restricted and you are not in the authorized list. Visit https://huggingface.co/dandyonrocks/sd1.5_vibs2 to ask for access. | [
-0.05336702987551689,
0.002488991478458047,
-0.011724625714123249,
0.00605414854362607,
0.04475414380431175,
-0.016456210985779762,
-0.002741039963439107,
0.0016362466849386692,
-0.02400928921997547,
0.05540042743086815,
0.05615030229091644,
-0.00017882090469356626,
0.013721947558224201,
0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"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... | 574 | null | ---
library_name: stable-baselines3
tags:
- PandaReachDense-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v2
type: PandaReach... | [
-0.0499943345785141,
-0.016001518815755844,
-0.00885704718530178,
0.0362517274916172,
0.04096181318163872,
0.0030958044808357954,
-0.021479077637195587,
-0.010165071114897728,
-0.03813422843813896,
0.05684598907828331,
0.024795955047011375,
-0.00272627011872828,
0.03134264051914215,
0.0027... |
CAMeL-Lab/bert-base-arabic-camelbert-msa | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"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... | 2,967 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: fogsmog_hfclass
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: t... | [
0.005312055349349976,
-0.027271416038274765,
-0.005430938210338354,
0.02986651286482811,
0.05029456689953804,
-0.00020721694454550743,
0.0003872147644869983,
-0.014286027289927006,
-0.0037635404150933027,
0.055957190692424774,
0.016077205538749695,
0.011537455022335052,
0.013508353382349014,... |
CAUKiel/JavaBERT | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"code",
"arxiv:2110.10404",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"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... | 388 | 2023-01-27T23:58:24Z | ---
license: gpl-3.0
tags:
- vision
- image-classification
- Pokรฉmon
widget:
- src: https://huggingface.co/torresflo/Poke-Model/resolve/main/examples/1.jpg
example_title: Bulbasaur
- src: https://huggingface.co/torresflo/Poke-Model/resolve/main/examples/2.jpg
example_title: Charizard
- src: https://huggingface.co/t... | [
-0.030850781127810478,
0.003560282289981842,
0.003033378627151251,
0.020120084285736084,
0.04401543363928795,
-0.002388879656791687,
0.0003624968812800944,
-0.010833878070116043,
-0.02519126608967781,
0.040197309106588364,
0.024093199521303177,
-0.011537748388946056,
0.0262584388256073,
0.... |
CBreit00/DialoGPT_small_Rick | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: cc
---
<img src="https://huggingface.co/Unite/Union_mix/resolve/main/Preview/Title.png" align="left" style="width: 100%;"/>
```
```
# ๐ฐ๐ท K-์ ๋
๋ฏน์ค!
์์ ํ๊ตญ ์ค๊ณ ๋ฉ์ด ํ์ํ ๋ ์ฌ์ฉํ๋ ๋น๋ฒ์์ค!
## โ๏ธ ํน์ง
- ์ํผํ๊ณ ์์ ์ฌ๊ณ ์ ์ธ๋ชจ์ ํ์จ์ด ์ข์
- ๋ฐ์ค์ฌ (20 ~ 30% ๋ฐํฌ๋ฅด๋ฉ)
- ์ธ๊ตญ์ธ๋ ๊ด์ฐฎ๊ฒ ๋ฝํ
- ์ฑ์ํจ๊ณผ๋ ๊ฑฐ๋ฆฌ๊ฐ ๋ฉ์ด์!
<div style="width:auto; height:auto;">
<i... | [
0.007344827055931091,
-0.02561957947909832,
-0.010042271576821804,
0.04714182764291763,
0.028956308960914612,
0.009856206364929676,
-0.014504448510706425,
0.010017147287726402,
-0.05845467001199722,
0.05072447285056114,
-0.027414238080382347,
-0.005525738000869751,
0.029327375814318657,
0.... |
CL/safe-math-bot | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2023-01-28T00:01:22Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: electra-small-discriminator-finetuned-HC3-mix
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 rem... | [
-0.029798265546560287,
0.005199287552386522,
-0.004913530312478542,
0.00566653860732913,
0.034723903983831406,
0.026388153433799744,
-0.023926088586449623,
0.006050034426152706,
-0.05134826526045799,
0.05604369938373566,
0.02319115400314331,
-0.012838523834943771,
0.013864553533494473,
0.0... |
CLAck/indo-mixed | [
"pytorch",
"marian",
"text2text-generation",
"en",
"id",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 15 | null | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
---
Cornflower is a comprehensive painting model based on StableDiffusion, trained with specific styles of illustration and merged with multiple models,... | [
-0.013361274264752865,
-0.01726718619465828,
0.007090594619512558,
0.017455577850341797,
0.03259994834661484,
0.005327030550688505,
-0.022272832691669464,
-0.0216866135597229,
0.008206536062061787,
0.06301657855510712,
0.0282592736184597,
-0.002572963247075677,
0.008625921793282032,
0.0334... |
CLEE/CLEE | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
-0.04099779203534126,
-0.01621629111468792,
-0.01463022269308567,
0.03636924549937248,
0.047644391655921936,
-0.007812758907675743,
-0.011138349771499634,
-0.02304995059967041,
-0.02950189635157585,
0.05555272102355957,
0.024189041927456856,
-0.03169599920511246,
0.018253309652209282,
0.01... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.