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 |
|---|---|---|---|---|---|---|---|
Banshee/dialoGPT-luke-small | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- summarization
- arabic
- ar
- mt5
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mt5-base-finetuned-persian-finetuned-persian-arabic
results: []
---
<!-- This model card has been generated automatically according to the information the Trai... | [
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Banshee/dialoGPT-small-luke | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- becasv2
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 rem... | [
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BaptisteDoyen/camembert-base-xnli | [
"pytorch",
"tf",
"camembert",
"text-classification",
"fr",
"dataset:xnli",
"transformers",
"zero-shot-classification",
"xnli",
"nli",
"license:mit",
"has_space"
] | zero-shot-classification | {
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"CamembertForSequenceClassification"
],
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},
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... | 405,474 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: -41.10 +/- 92.00
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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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 | {
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... | 30 | null | ---
language:
- en
tags:
- summarization
license: apache-2.0
datasets:
- DeepCom
metrics:
- bleu
---
# How To Use
```PYTHON
from transformers import BartForConditionalGeneration, BartTokenizer
model = BartForConditionalGeneration.from_pretrained("NTUYG/ComFormer")
tokenizer = BartTokenizer.from_pretrained("NTUYG/ComFo... | [
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Beatriz/model_name | [] | null | {
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"num_beams... | 0 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/auto_nietzsche/1652070864000/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; ... | [
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Beelow/wav2vec2-ukrainian-model-large | [] | null | {
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"num_beams... | 0 | null | ---
language:
- hi
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_9_0
- generated_from_trainer
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_9_0
metrics:
- wer
model-index:
- name: XLS-R-300M - Hindi
results:
- task:
type: automatic-speech-recogni... | [
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BenDavis71/GPT-2-Finetuning-AIRaid | [
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"jax",
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"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 10 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/malnote/1652074591822/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: ... | [
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BenQLange/HF_bot | [] | null | {
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"num_beams... | 0 | 2022-05-09T05:47:52Z | ---
language: en
thumbnail: http://www.huggingtweets.com/jamesliao333/1652075372352/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
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Benicio/t5-small-finetuned-en-to-ru | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_repeat_ngram_s... | 50 | 2022-05-09T06:32:04Z | ---
license: apache-2.0
tags:
- summarization
- arabic
- ar
- mt5
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mt5-base-arabic
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... | [
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0.022... |
Beri/legal-qa | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
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},
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"no_re... | 10 | 2022-05-09T06:37:59Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Ukhushn/DistilHomeDepot-finetuned
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. -->
# ... | [
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BhanuSama/gpt2-finetuned-xsum | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 238.47 +/- 60.15
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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... |
Bharathdamu/wav2vec2-large-xls-r-300m-hindi-colab | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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],
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},
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"no_repeat_ngram_s... | 4 | 2022-05-09T06:52:18Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 265.78 +/- 19.01
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Bia18/Beatriz | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-arxiv-pubmed-v3-e8
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 ... | [
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Biasface/DDDC | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 14 | 2022-05-09T07:19:59Z | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- lewtun/autotrain-data-my-eval-project-615
co2_eq_emissions: 172.04481351504182
model-index:
- name: bhadresh-savani/distilbert-base-uncased-emotion
results:
- task:
name: Multi-class Classification
type: text-classificati... | [
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0... |
Biasface/DDDC2 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 279.47 +/- 18.86
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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BigSalmon/Flowberta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
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],
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"no_repeat_ngra... | 13 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-gradient-clinic
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. --... | [
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BigSalmon/FormalBerta | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 10 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-base-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-fi... | [
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BigSalmon/FormalBerta3 | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 4 | null | ---
language: en
license: mit
tags:
- keyphrase-generation
datasets:
- midas/openkp
widget:
- text: "Keyphrase extraction is a technique in text analysis where you extract the important keyphrases from a document.
Thanks to these keyphrases humans can understand the content of a text very quickly and easily without re... | [
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0.0317... |
BigSalmon/FormalRobertaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
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],
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"no_repeat_ngra... | 5 | 2022-05-09T08:19:07Z | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/gamza-bart-for-kormath
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. -->
# madatnlp/... | [
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0... |
BigSalmon/FormalRobertaaa | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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"no_repeat_ngra... | 12 | null | ---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-cc25-finetuned-hi-to-en-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... | [
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0... |
BigSalmon/GPT2HardArticleEasyArticle | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
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],
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"no_repeat_ngram_size... | 7 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 271.03 +/- 12.91
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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BigSalmon/GPTNeo350MInformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
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],
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"no_repeat_ngram... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-arxiv-pubmed-v3-e16
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... | [
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... |
BigSalmon/GPTNeo350MInformalToFormalLincoln4 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
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},
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"min_length": null,
"no_repeat_ngram... | 11 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 203.88 +/- 20.92
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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BigSalmon/MrLincoln125MNeo | [
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
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],
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"min_length": null,
"no_repeat_ngram... | 12 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 249.68 +/- 17.67
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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BigeS/DialoGPT-small-Rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 10 | 2022-05-09T11:13:08Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: distilbart-cnn-arxiv-pubmed-pubmed
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: scientific_papers
type: sc... | [
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0... |
Bosio/full-sentence-distillroberta3-finetuned-wikitext2 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- conversational
---
# Rick Sanchez DialoGPT Model | [
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BritishLibraryLabs/bl-books-genre | [
"pytorch",
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"text-classification",
"multilingual",
"dataset:blbooksgenre",
"transformers",
"genre",
"books",
"library",
"historic",
"glam ",
"lam",
"license:mit",
"has_space"
] | text-classification | {
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],
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},
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... | 76 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: ppo
results:
- metrics:
- type: mean_reward
value: 284.71 +/- 16.95
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Brykee/BrykeeBot | [] | null | {
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: cc-by-nc-sa-4.0
language: "en"
tags:
- splade
- query-expansion
- document-expansion
- bag-of-words
- passage-retrieval
- knowledge-distillation
datasets:
- ms_marco
---
## SPLADE CoCondenser SelfDistil
SPLADE model for passage retrieval. For additional details, please visit:
* paper: https://arxiv.org/a... | [
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CALM/CALM | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... | [
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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 | {
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],
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},
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"max_length": null,
"min_length": null,
"no_repeat... | 71 | null | ---
license: cc-by-nc-sa-4.0
language: "en"
tags:
- splade
- query-expansion
- document-expansion
- bag-of-words
- passage-retrieval
- knowledge-distillation
datasets:
- ms_marco
---
## SPLADE CoCondenser EnsembleDistil
SPLADE model for passage retrieval. For additional details, please visit:
* paper: https://arxiv.o... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment | [
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"tf",
"bert",
"text-classification",
"ar",
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"transformers",
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] | text-classification | {
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},
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"no_rep... | 73 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 283.86 +/- 14.11
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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],
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"no_repeat... | 54 | 2022-05-09T13:27:08Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-base-finetuned-squad-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-msa | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
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],
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},
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"no_repeat... | 27 | 2022-05-09T13:28:03Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conl... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi | [
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"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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],
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},
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"no_rep... | 63 | null | ---
widget:
- text: "Earth [MASK] is a growing field."
- text: "Multiple [MASK] channels enable full polarimetry"
- text: "The [MASK] is capable of measuring in limb and nadir geometry"
---
# RemoteSensing Distilbert
![alt text](https://media.istockphoto.com/photos/space-communications-satellite-in-low-orbit-around... | [
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0... |
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",
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},
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"min_length": null,
"no_repeat_ngram_size... | 21 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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dccuchile/albert-tiny-spanish-finetuned-pos | [
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"no_re... | 5 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 266.06 +/- 17.29
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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dccuchile/albert-xxlarge-spanish-finetuned-pawsx | [
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"no... | 26 | null | This is a model checkpoint for "[Structured Pruning Learns Compact and Accurate Models](https://arxiv.org/pdf/2204.00408.pdf)". The model is pruned from `bert-base-uncased` to a 60% sparsity on dataset RTE. Please go to [our repository](https://github.com/princeton-nlp/CoFiPruning) for more details on how to use the mo... | [
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dccuchile/albert-base-spanish | [
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"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
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"no_repeat_ngr... | 586 | null | This is a model checkpoint for "[Structured Pruning Learns Compact and Accurate Models](https://arxiv.org/pdf/2204.00408.pdf)". The model is pruned from `bert-base-uncased` to a 60% sparsity on dataset MRPC. Please go to [our repository](https://github.com/princeton-nlp/CoFiPruning) for more details on how to use the m... | [
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dccuchile/albert-tiny-spanish | [
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"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | {
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"no_repeat_ngr... | 393 | null | This is a model checkpoint for "[Structured Pruning Learns Compact and Accurate Models](https://arxiv.org/pdf/2204.00408.pdf)". The model is pruned from `bert-base-uncased` to a 95% sparsity on dataset CoLA. Please go to [our repository](https://github.com/princeton-nlp/CoFiPruning) for more details on how to use the m... | [
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dccuchile/albert-xxlarge-spanish | [
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"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | {
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],
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"no_repeat_ngr... | 42 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 217.15 +/- 49.99
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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dccuchile/bert-base-spanish-wwm-cased-finetuned-ner | [
"pytorch",
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"transformers",
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] | token-classification | {
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"no_repeat... | 81 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 267.76 +/- 16.85
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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dccuchile/bert-base-spanish-wwm-cased-finetuned-pos | [
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"transformers",
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] | token-classification | {
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"no_repeat... | 1 | 2022-05-09T15:53:28Z | ---
language:
- en
tags:
- summarization
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: ccdv/lsg-bart-base-16384-arxiv
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... | [
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dccuchile/bert-base-spanish-wwm-cased-finetuned-qa-mlqa | [
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"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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],
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"no_repeat_n... | 5 | 2022-05-09T15:59:41Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 261.82 +/- 18.09
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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dccuchile/bert-base-spanish-wwm-uncased-finetuned-pos | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 5 | 2022-05-09T16:20:01Z | ---
language:
- en
tags:
- summarization
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: ccdv/lsg-bart-base-4096-pubmed
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... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-ner | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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... | 28 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: -177.16 +/- 72.05
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe-1 | [
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"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"no_repea... | 7 | 2022-05-09T17:12:53Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: -525.05 +/- 245.42
name: mean_reward
task:
type: reinforcement-learning
name: ... | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate | [
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"no_repea... | 7 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 262.07 +/- 20.63
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Certified-Zoomer/DialoGPT-small-rick | [] | null | {
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"num_beams... | 0 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/schizo_freq/1666842754202/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; wid... | [
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Chaddmckay/Cdm | [] | null | {
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"num_beams... | 0 | 2022-05-09T18:00:57Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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value: 246.06 +/- 24.81
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Chae/botman | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 5 | 2022-05-09T18:01:02Z | ---
language:
- ru
- uk
- multilingual
license: mit
tags:
- russian
- ukrainian
---
# A little about the model
The model is trained to answer questions about health topics (Open-book question answering-comprehend).
cointegrated/rut5-base-multitask
For training, a compact T5 model was used: cointegrated/rut5-base-mul... | [
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"no_repeat_ngram_size... | 8 | 2022-05-09T18:03:51Z | ---
library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 445.30 +/- 66.09
name: mean_reward
task:
type: reinforcement-learning
name: reinf... | [
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Chaima/TunBerto | [] | null | {
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"num_beams... | 0 | 2022-05-09T18:11:12Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: KenP/marian-finetuned-kde4-en-to-fr
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. -->
... | [
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0.0... |
chainyo/speaker-recognition-meetup | [] | null | {
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"num_beams... | 1 | 2022-05-09T18:35:20Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 232.96 +/- 23.88
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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ChaitanyaU/FineTuneLM | [] | null | {
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"num_beams... | 0 | 2022-05-09T18:37:17Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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Chakita/Friends | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | 2022-05-09T18:41:45Z | ---
language:
- et
widget:
- text: "te olete ka noh, noh, päris korralikult ka Rahvusringhäälingu teatud mõttes sellisesse keerulisse olukorda pannud,"
- text: "Et, et, et miks mitte olla siis tasakaalus, ma noh, hüpoteetiliselt viskan selle palli üles,"
---
Dataset must be processed as following:
```
def prepro... | [
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0.04837795... |
Chakita/KNUBert | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repeat_ngra... | 20 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 218.36 +/- 65.70
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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... |
Chandanbhat/distilbert-base-uncased-finetuned-cola | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 286.05 +/- 15.64
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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... |
CharlieChen/feedback-bigbird | [] | null | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 263.54 +/- 22.71
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-... |
Chinat/test-classifier | [] | null | {
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},
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"num_beams... | 0 | 2022-05-09T21:01:24Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 137.66 +/- 94.84
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Chinmay/mlindia | [] | null | {
"architectures": null,
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"num_beams... | 0 | 2022-05-09T21:07:56Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 175.56 +/- 103.29
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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ChristianOrr/madnet_keras | [
"tensorboard",
"dataset:flyingthings-3d",
"dataset:kitti",
"arxiv:1810.05424",
"vision",
"deep-stereo",
"depth-estimation",
"Tensorflow2",
"Keras",
"license:apache-2.0"
] | depth-estimation | {
"architectures": null,
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},
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"num_beams... | 0 | 2022-05-09T21:56:26Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 124.09 +/- 113.84
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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-0.... |
ChristopherA08/IndoELECTRA | [
"pytorch",
"electra",
"pretraining",
"id",
"dataset:oscar",
"transformers"
] | null | {
"architectures": [
"ElectraForPreTraining"
],
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},
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"min_length": null,
"no_repeat_n... | 4 | null | ---
library_name: stable-baselines3
tags:
- BipedalWalkerHardcore-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DDPG
results:
- metrics:
- type: mean_reward
value: -122.85 +/- 24.22
name: mean_reward
task:
type: reinforcement-learning
... | [
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0.02... |
Chuah/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xlsr-es-col-pro
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. -->
# wav2... | [
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Chun/DialoGPT-large-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 6 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 249.38 +/- 15.43
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0.0... |
Chun/DialoGPT-medium-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 15 | null | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: prot_bert_classification_finetuned_no_finetune
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | [
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0.... |
Chun/DialoGPT-small-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 10 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 206.54 +/- 39.96
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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... |
Chun/w-en2zh-hsk | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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],
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},
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"no_repeat_ngram_size... | 1 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-base-finetuned-squad-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. ... | [
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0.0... |
Chun/w-zh2en-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
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},
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"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 209.48 +/- 63.51
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Chungu424/DATA | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab
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. -->
# wav2... | [
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0.0020470465533435345,
... |
Chungu424/repo | [] | null | {
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"num_beams... | 0 | 2022-05-10T00:09:23Z | Enter your thoughts in chat.
The output would be probability of your current mental state.
| [
-0.013989675790071487,
-0.0034368543419986963,
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Chuu/Chumar | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: LunarLander-v2-PPO-0
results:
- metrics:
- type: mean_reward
value: 296.17 +/- 18.24
name: mean_reward
task:
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Cinnamon/electra-small-japanese-discriminator | [
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"electra",
"pretraining",
"ja",
"transformers",
"license:apache-2.0"
] | null | {
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"no_repeat_n... | 419 | null | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- huggingface/autotrain-data-emotion-classifier
co2_eq_emissions: 0.0356737013291627
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 844626970
- CO2 Emissions (in grams): 0.0356737013291627
## ... | [
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Cinnamon/electra-small-japanese-generator | [
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] | fill-mask | {
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"no_repeat_ngra... | 19 | null | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- huggingface/autotrain-data-emotion-classifier
co2_eq_emissions: 0.03352363146218395
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 844626971
- CO2 Emissions (in grams): 0.03352363146218395
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Ciruzzo/DialoGPT-medium-harrypotter | [] | null | {
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tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- huggingface/autotrain-data-emotion-classifier
co2_eq_emissions: 5.105896029773057
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 844626974
- CO2 Emissions (in grams): 5.105896029773057
## Va... | [
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Ciruzzo/DialoGPT-small-harrypotter | [
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] | conversational | {
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"no_repeat_ngram_size... | 9 | null | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- huggingface/autotrain-data-emotion-classifier
co2_eq_emissions: 21.544951870079743
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 844626973
- CO2 Emissions (in grams): 21.544951870079743
## ... | [
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Ciruzzo/DialoGPT-small-hattypotter | [] | null | {
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"num_beams... | 0 | null | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- huggingface/autotrain-data-emotion-classifier
co2_eq_emissions: 26.078927817316227
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 844626972
- CO2 Emissions (in grams): 26.078927817316227
## ... | [
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ClaudeYang/awesome_fb_model | [
"pytorch",
"bart",
"text-classification",
"dataset:multi_nli",
"transformers",
"zero-shot-classification"
] | zero-shot-classification | {
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"no_rep... | 26 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 294.85 +/- 15.48
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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CleveGreen/FieldClassifier_v2 | [
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] | text-classification | {
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"no_rep... | 46 | null | ---
license: apache-2.0
tags:
- summarization
- urdu
- ur
- mt5
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mt5-base-finetuned-urdu
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... | [
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CleveGreen/JobClassifier | [
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] | text-classification | {
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],
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"no_rep... | 31 | 2022-05-10T01:40:45Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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- type: mean_reward
value: 231.65 +/- 45.00
name: mean_reward
task:
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CleveGreen/JobClassifier_v2 | [
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] | text-classification | {
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"no_rep... | 37 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: arjunpatel/distilgpt2-finetuned-wikitext2
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.... | [
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Cloudy/DialoGPT-CJ-large | [
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] | conversational | {
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"num_beams... | 1 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: truckli/distilbert-base-uncased-finetuned-cola
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 com... | [
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ClydeWasTaken/DialoGPT-small-joshua | [
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] | conversational | {
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library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 299.29 +/- 17.28
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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CoShin/XLM-roberta-large_ko_en_nil_sts | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
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CoachCarter/distilbert-base-uncased-finetuned-squad | [] | null | {
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language:
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thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
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license: gpl-3.0
---
# CKIP BERT Tiny Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-o... | [
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CoachCarter/distilbert-base-uncased | [] | null | {
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language:
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thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
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license: gpl-3.0
---
# CKIP BERT Tiny Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segment... | [
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CodeDanCode/CartmenBot | [
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"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 14 | 2022-05-10T02:54:45Z | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- token-classification
- bert
- zh
license: gpl-3.0
---
# CKIP BERT Tiny Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segment... | [
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CodeDanCode/SP-KyleBot | [
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] | conversational | {
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"no_repeat_ngram_size... | 15 | null | ---
language:
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thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- token-classification
- bert
- zh
license: gpl-3.0
---
# CKIP BERT Tiny Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segment... | [
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CodeNinja1126/bert-p-encoder | [
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"num_beams... | 3 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 280.98 +/- 18.72
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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CodeNinja1126/koelectra-model | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
---
GPT-Neo-small for Vietnamese
Based on [NlpHUST/gpt-neo-vi-small](https://huggingface.co/NlpHUST/gpt-neo-vi-small), finetuned on dataset of [10m Facebook comments](https://github.com/binhvq/news-corpus)
| [
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0.00... |
CodeNinja1126/test-model | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"min_length": null,
"no_rep... | 24 | null | ---
language: "en"
tags:
- twitter
- masked-token-prediction
- bertweet
- election2020
- politics
license: "gpl-3.0"
---
# This version is trained on a smaller data set.
See the full-size version at [PoliBERTweet](https://huggingface.co/kornosk/polibertweet-mlm).
# Citation
```bibtex
@inproceedings{kawintiranon2022po... | [
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0.01... |
CodeNinja1126/xlm-roberta-large-kor-mrc | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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],
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... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Sounak/distilbert-finetuned
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. -->
# Sounak... | [
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0.0384... |
CoderBoy432/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... | [
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0.04... |
CoderEFE/DialoGPT-marxbot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"has_space"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/gamza-bart-for-kormath128
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. -->
# madatn... | [
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0.... |
Venkatakrishnan-Ramesh/Text_gen | [] | null | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 302.71 +/- 7.68
name: mean_reward
task:
type: reinforcement-learning
name: rei... | [
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-0.... |
CohleM/bert-nepali-tokenizer | [] | null | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 252.15 +/- 22.31
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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0.016133274883031845,
-... |
ComCom-Dev/gpt2-bible-test | [] | null | {
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},
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 261.33 +/- 20.04
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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cometrain/neurotitle-rugpt3-small | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"en",
"dataset:All-NeurIPS-Papers-Scraper",
"transformers",
"Cometrain AutoCode",
"Cometrain AlphaML",
"license:mit"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 20 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 202.32 +/- 21.75
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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0.015343371778726578,
... |
Connor-tech/bert_cn_finetuning | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_rep... | 27 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 241.12 +/- 21.01
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0.... |
Connorvr/BrightBot-small | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"min_length": null,
"no_repeat_ngram_size... | 7 | 2022-05-10T07:22:22Z | ---
tags:
- generated_from_keras_callback
- id
- Indonesian
license: mit
dataset:
- id_puisi
widget:
- text : "SENJA"
- text : "BERANI"
model-index:
- name: Sultannn/gpt2-ft-id-puisi
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
pr... | [
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0.... |
Connorvr/TeachingGen | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4 | null | ---
license: apache-2.0
widget:
- text: "[CLS] Rover is a dog. [SEP] Rover is a cat. [SEP]"
---
`deberta-v3-base`, fine tuned on the debiased NLI dataset from "Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets", Wu et al., 2022.
Tuned using the code at https://github.com/jimmyco... | [
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... |
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