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 |
|---|---|---|---|---|---|---|---|
ConstellationBoi/Oop | [] | 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:
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value: 261.06 +/- 28.61
name: mean_reward
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Contrastive-Tension/BERT-Base-CT-STSb | [
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tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: electricidad-base-finetuned-parmex
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. -->
# electr... | [
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"no_repeat_ngram_size... | 16 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-amazon_reviews_multi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
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license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
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name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
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language:
- de
tags:
- Text Classification
- sentiment
- Simpletransformers
- deepset/gbert-base
---
This gBert-base model was finetuned on a sentiment prediction task with tweets from German politician during the German Federal Election in 2021.
## Model Description:
This model was trained on ~30.000 annotated... | [
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"no_repea... | 6 | null | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
mask_token: "[MASK]"
widget:
- text: "早稲田 大学 で 自然 言語 処理 を [MASK] する 。"
---
# nlp-waseda/roberta-large-japanese
## Model description
This is a Japanese RoBERTa large model pretrained on Japanese Wikipedia and the Japanese portion of CC-100.
## How ... | [
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Contrastive-Tension/BERT-Large-CT-STSb | [
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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: 208.07 +/- 67.39
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Contrastive-Tension/RoBerta-Large-CT-STSb | [
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"roberta",
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"transformers"
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"no_repeat_ngram_size... | 5 | null | ---
datasets: SberDevices/Golos
---
# **Acoustic and language models**
Acoustic model built using [QuartzNet15x5](https://arxiv.org/pdf/1910.10261.pdf) architecture and trained using [NeMo toolkit](https://github.com/NVIDIA/NeMo/tree/r1.0.0b4)
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CouchCat/ma_ner_v7_distil | [
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... | 13 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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value: 186.57 +/- 75.05
name: mean_reward
task:
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CouchCat/ma_sa_v7_distil | [
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"license:mit"
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... | 38 | 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: 243.43 +/- 22.55
name: mean_reward
task:
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name: re... | [
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Cyrell/Cyrell | [] | null | {
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"num_beams... | 0 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/marcfriedrich7/1652179164370/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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D3vil/DialoGPT-smaall-harrypottery | [] | null | {
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language:
- en
library_name: k2
tags:
- automatic-speech-recognition
- k2
widget:
- example_title: Librispeech sample 1
src: https://huggingface.co/csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless3-2022-05-13/resolve/main/test_wavs/1089-134686-0001.wav
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D3xter1922/distilbert-base-uncased-finetuned-cola | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-google-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. -->
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D3xter1922/electra-base-discriminator-finetuned-mnli | [] | null | {
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tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/ket5-config-scratch
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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D4RL1NG/yes | [] | null | {
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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: 254.09 +/- 18.39
name: mean_reward
task:
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DCU-NLP/electra-base-irish-cased-generator-v1 | [
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"electra",
"fill-mask",
"ga",
"transformers",
"irish",
"license:apache-2.0",
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language: en
thumbnail: http://www.huggingtweets.com/broductmanager/1652182609331/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
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DJSammy/bert-base-danish-uncased_BotXO-ai | [
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"num_beams... | 14 | null | ---
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
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DJStomp/TestingSalvoNET | [
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"num_beams... | 1 | 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 ... | [
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DKpro000/DialoGPT-medium-harrypotter | [] | null | {
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"num_beams... | 0 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/_avichalp_/1652183801632/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; widt... | [
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DKpro000/DialoGPT-small-harrypotter | [] | null | {
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"num_beams... | 0 | 2022-05-10T11:59:05Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 237.90 +/- 21.51
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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DSI/TweetBasedSA | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 29 | null | ---
language: en
license: mit
---
# MultiCite: Multi-label Citation Intent Analysis as paper-level Q&A (NAACL 2022)
This model has been trained on the data available here: https://github.com/allenai/multicite. | [
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Daivakai/DialoGPT-small-saitama | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | 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: 256.23 +/- 14.87
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Danbi/distilgpt2-finetuned-wikitext2 | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- text2text-generation
- generated_from_trainer
metrics:
- rouge
- bleu
datasets:
- domenicrosati/QA2D
model-index:
- name: QA2D-t5-small
results:
- task:
name: Question to Declarative Sentence
type: text2text-generation
dataset:
name: domenicrosati/QA2D
typ... | [
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Dandara/bertimbau-socioambiental | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"min_length": null,
"no_rep... | 27 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# florentgbelidji/setfit_emotion
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 clus... | [
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DannyMichael/ECU911 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: con_gpt_med_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. -->
# con_gpt_med_model
This model is a fi... | [
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DarkestSky/distilbert-base-uncased-finetuned-ner | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: vanichandna/bert-base-multilingual-cased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remov... | [
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0.... |
Davlan/bert-base-multilingual-cased-finetuned-naija | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-peyma-fa
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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Davlan/bert-base-multilingual-cased-finetuned-swahili | [
"pytorch",
"tf",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
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},
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"min_length": null,
"no_repeat_ngram_size... | 67 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-base-finetuned-scrambled-squad-5
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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Davlan/distilbert-base-multilingual-cased-masakhaner | [
"pytorch",
"tf",
"distilbert",
"token-classification",
"arxiv:2103.11811",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
... | 16 | 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: 285.62 +/- 20.33
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0... |
Davlan/mbart50-large-eng-yor-mt | [
"pytorch",
"mbart",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
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"max_length": null
},
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"max_length": null,
"min_length": null,
"no_re... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-osdg
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remo... | [
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Davlan/mt5_base_eng_yor_mt | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
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"max_length": null
},
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"max_length": null,
"min_length": null,
"no_repeat... | 2 | 2022-05-10T14:48:32Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 273.23 +/- 17.77
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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0.0026783279608935118,
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0.016948245465755463,
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0.06384921073913574,
0.03324001654982567,
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0.016231458634138107,
-0... |
Davlan/xlm-roberta-base-finetuned-wolof | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-rater
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. -->
# distilbert-rater
... | [
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Dazai/Ok | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | 2022-05-10T17:31:43Z | ---
tags:
- opt_metasq
---
# This repo let's you run the following checkpoint using facebookresearch/metaseq.
Do the following:
## 1. Install PyTorch
```
pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
```
## 2. Install ... | [
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0.0... |
Dbluciferm3737/Idk | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2022-05-10T17:31:55Z | ---
tags:
- opt_metasq
---
# This repo let's you run the following checkpoint using facebookresearch/metaseq.
Do the following:
## 1. Install PyTorch
```
pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
```
## 2. Install ... | [
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0.050007570534944534,
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0.0... |
Dbluciferm3737/U | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- opt_metasq
---
# This repo let's you run the following checkpoint using facebookresearch/metaseq.
Do the following:
## 1. Install PyTorch
```
pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
```
## 2. Install ... | [
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Ddarkros/Test | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"num_beams... | 0 | 2022-05-10T17:32:24Z | ---
tags:
- opt_metasq
---
# This repo let's you run the following checkpoint using facebookresearch/metaseq.
Do the following:
## 1. Install PyTorch
```
pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
```
## 2. Install ... | [
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DeadBeast/emoBERTTamil | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:tamilmixsentiment",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"max_length": null,
"min_length": null,
"no_rep... | 35 | 2022-05-10T17:38:23Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and... | [
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0.03940... |
DeadBeast/korscm-mBERT | [
"pytorch",
"bert",
"text-classification",
"korean",
"dataset:Korean-Sarcasm",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 43 | 2022-05-10T17:47:22Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-rater
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. -->
# distilbert-rater
... | [
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0.04... |
DeadBeast/mbert-base-cased-finetuned-bengali-fakenews | [
"pytorch",
"bert",
"text-classification",
"bengali",
"dataset:BanFakeNews",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"no_rep... | 37 | 2022-05-10T18:05:51Z | ---
tags:
- espnet
- audio
- text-to-speech
language: en
datasets:
- ryanspeech
license: cc-by-nc-4.0
widget:
- text: "This seems a very pleasant place, and I think I shall enjoy myself very much."
---
## RyanSpeech model (based on ESPnet2)
### `espnet/english_male_ryanspeech_tacotron`
This model was trained by [Rohol... | [
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DeadBeast/roberta-base-pretrained-mr-2 | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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"no_repeat_ngra... | 5 | 2022-05-10T18:13:25Z | ---
tags:
- espnet
- audio
- text-to-speech
language: en
datasets:
- ryanspeech
license: cc-by-nc-4.0
widget:
- text: "This seems a very pleasant place, and I think I shall enjoy myself very much."
---
## RyanSpeech model (based on ESPnet2)
### `espnet/english_male_ryanspeech_fastspeech2`
This model was trained by [Ro... | [
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DeadBeast/roberta-base-pretrained-mr | [
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 6 | 2022-05-10T18:15:33Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-arxiv-pubmed-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 remo... | [
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Dean/summarsiation | [] | null | {
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"num_beams... | 0 | null | ---
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,"
---
Model usage:
```
tokenizer = MBart50Tokenizer.from_pret... | [
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... |
Declan/Breitbart_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
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"no_repeat_ngram_size... | 7 | 2022-05-10T18:23:41Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 289.14 +/- 17.41
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0.... |
Declan/Breitbart_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 3 | 2022-05-10T18:46:07Z | # Basic Information
This is the Dr. Decr model used in XOR-TyDi leaderboard task 1 whitebox submission.
https://nlp.cs.washington.edu/xorqa/
The detailed implementation of the model can be found in:
https://arxiv.org/pdf/2112.08185.pdf
Source code to train the model can be found via PrimeQA's IR component:
https... | [
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Declan/CNN_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 7 | 2022-05-10T19:03:07Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 238.37 +/- 65.78
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0.... |
Declan/CNN_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
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"no_repeat_ngram_size... | 5 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-base-finetuned-scrambled-squad-15
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 thi... | [
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0.... |
Declan/CNN_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 3 | 2022-05-10T19:16:46Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 224.96 +/- 73.06
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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-0.0... |
Declan/CNN_model_v7 | [] | null | {
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"num_beams... | 0 | 2022-05-10T19:23:18Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 238.83 +/- 22.61
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Declan/ChicagoTribune_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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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: mlp
results:
- metrics:
- type: mean_reward
value: 274.83 +/- 24.24
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Declan/ChicagoTribune_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | 2022-05-10T19:34:58Z | ---
tags:
- generated_from_trainer
model-index:
- name: tests-finetuned-squad-full
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. -->
# tests-finetuned-squad-full
... | [
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Declan/ChicagoTribune_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
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"no_repeat_ngram_size... | 7 | 2022-05-10T19:37:10Z | ---
license: mit
tags:
- generated_from_trainer
datasets:
- keyword_pubmed_dataset
metrics:
- accuracy
model-index:
- name: kw_pubmed_1000_0.0003
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: keyword_pubmed_dataset
type: keyword_pubmed_dataset
args:... | [
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0.04... |
Declan/ChicagoTribune_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 7 | 2022-05-10T19:52:23Z | ---
tags:
- generated_from_trainer
model-index:
- name: zh-finetuned-squad-qa-minilmv2-32
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. -->
# zh-finetuned-squad-qa... | [
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0.028... |
Declan/FoxNews_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 3 | 2022-05-10T20:05:10Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 281.46 +/- 17.95
name: mean_reward
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name: re... | [
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Declan/FoxNews_model_v3 | [
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"no_repeat_ngram_size... | 7 | 2022-05-10T20:06:22Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 228.05 +/- 22.63
name: mean_reward
task:
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Declan/FoxNews_model_v4 | [
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"no_repeat_ngram_size... | 7 | 2022-05-10T20:11:36Z | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: vanichandna/indic-bert-finetuned-squad
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. -->
# va... | [
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"no_repeat_ngram_size... | 7 | 2022-05-10T20:13:04Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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value: 266.98 +/- 12.23
name: mean_reward
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Declan/HuffPost_model_v2 | [
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"no_repeat_ngram_size... | 3 | 2022-05-10T20:34:51Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 283.12 +/- 15.88
name: mean_reward
task:
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Declan/HuffPost_model_v5 | [
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"no_repeat_ngram_size... | 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: 287.12 +/- 20.40
name: mean_reward
task:
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Declan/HuffPost_model_v6 | [
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"no_repeat_ngram_size... | 9 | null | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: KenP/codeparrot-ds
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. -->
# KenP/codeparrot-ds
Th... | [
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Declan/HuffPost_model_v8 | [
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"no_repeat_ngram_size... | 7 | 2022-05-10T20:49:01Z | ---
library_name: stable-baselines3
tags:
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- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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- type: mean_reward
value: 289.86 +/- 15.74
name: mean_reward
task:
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Declan/NPR_model_v1 | [
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"no_repeat_ngram_size... | 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: 252.23 +/- 33.93
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Declan/NPR_model_v3 | [
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"no_repeat_ngram_size... | 9 | 2022-05-10T21:03:08Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
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model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 250.14 +/- 16.42
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Declan/NPR_model_v4 | [
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"no_repeat_ngram_size... | 3 | 2022-05-10T21:27:07Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-arxiv-pubmed-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 remov... | [
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"no_repeat_ngram_size... | 7 | 2022-05-10T21:40:24Z | ---
library_name: stable-baselines3
tags:
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model-index:
- name: PPO
results:
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value: 159.15 +/- 61.12
name: mean_reward
task:
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Declan/NPR_model_v6 | [
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"no_repeat_ngram_size... | 3 | 2022-05-10T21:44:09Z | ---
library_name: stable-baselines3
tags:
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model-index:
- name: PPO
results:
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value: 267.52 +/- 11.83
name: mean_reward
task:
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Declan/NewYorkPost_model_v1 | [] | null | {
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"num_beams... | 0 | 2022-05-10T21:52:11Z | ---
library_name: stable-baselines3
tags:
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model-index:
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results:
- metrics:
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value: 245.12 +/- 56.29
name: mean_reward
task:
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Declan/Politico_model_v1 | [
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- fastai
---
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit u... | [
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"no_repeat_ngram_size... | 7 | 2022-05-10T23:04:00Z | ---
library_name: stable-baselines3
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"no_repeat_ngram_size... | 3 | null | ---
library_name: stable-baselines3
tags:
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model-index:
- name: PPO
results:
- metrics:
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value: 285.06 +/- 23.34
name: mean_reward
task:
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Declan/Politico_model_v8 | [
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"no_repeat_ngram_size... | 7 | 2022-05-10T23:17:10Z | ---
library_name: stable-baselines3
tags:
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model-index:
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results:
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name: mean_reward
task:
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Declan/Reuters_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | 2022-05-10T23:19:28Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 293.97 +/- 11.26
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Declan/Reuters_model_v4 | [
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] | fill-mask | {
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"no_repeat_ngram_size... | 3 | 2022-05-10T23:23:03Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 299.81 +/- 18.80
name: mean_reward
task:
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name: re... | [
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Declan/Reuters_model_v5 | [
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"no_repeat_ngram_size... | 3 | 2022-05-10T23:25:05Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 293.91 +/- 13.82
name: mean_reward
task:
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name: re... | [
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Declan/WallStreetJournal_model_v3 | [
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"no_repeat_ngram_size... | 3 | 2022-05-10T23:33:17Z | precision recall f1-score support
negative 0.733238 0.778788 0.755327 660
neutral 0.757962 0.779963 0.768805 1068
positive 0.722793 0.728778 0.725773 483
skip 0.660714 0.501355 0.570108 369
speech 0.767857 0.868687 0.815166 ... | [
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Declan/test_push | [] | null | {
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"num_beams... | 0 | 2022-05-10T23:46:11Z | ---
library_name: stable-baselines3
tags:
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- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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value: 185.82 +/- 92.04
name: mean_reward
task:
type: reinforcement-learning
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DeepPavlov/bert-base-multilingual-cased-sentence | [
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"bert",
"feature-extraction",
"multilingual",
"arxiv:1704.05426",
"arxiv:1809.05053",
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"no_repeat_ngram_size": nul... | 140 | 2022-05-11T00:35:40Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 143.30 +/- 118.69
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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Denver/distilbert-base-uncased-finetuned-squad | [] | 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: -3.67 +/- 28.18
name: mean_reward
task:
type: reinforcement-learning
name: rei... | [
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DeskDown/MarianMixFT_en-my | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
---
[千言—AdvertiseGen广告文案生成数据集](https://www.luge.ai/#/luge/dataDetail?id=9)
> 仅支持.bin(pytorch)
在该千言数据集微调了5个epoch，
```python
input_text = '类型#裙*材质#针织*风格#简约*风格#青春*风格#清新*风格#性感*图案#条纹*图案#撞色*裙下摆#开叉*裙长#连衣裙*裙款式#拼接*裙款式#吊带'
output_text = gen_ads(input_text)
output_text = output_text.replace(' ',... | [
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DeskDown/MarianMix_en-ja-10 | [
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] | text2text-generation | {
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"no_repeat_ngram_size... | 1 | 2022-05-11T02:17:54Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: flat_N_max
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. -->
# flat_N_max
This model i... | [
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DeskDown/MarianMix_en-zh-10 | [
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"no_repeat_ngram_size... | 3 | 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
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Despin89/test | [] | null | {
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library_name: stable-baselines3
tags:
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- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
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value: -126.43 +/- 27.04
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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DevsIA/Devs_IA | [] | 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: 296.42 +/- 11.35
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Dhruva/Interstellar | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
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- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 105.84 +/- 83.18
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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DicoTiar/wisdomfiy | [
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"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: NER_EHR_Spanish_model_Mulitlingual_BERT
results: []
widget:
- text: 'Presentamos el caso de una mujer de 30 años, fumadora de 20 cigarrillos/día y sin otros antecedentes personales de interés.... | [
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Doiman/DialoGPT-medium-harrypotter | [
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] | conversational | {
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"no_repeat_ngram_size... | 13 | 2022-05-11T04:00:17Z | https://twitter.com/itsnewkknpenari
https://www.imdb.com/list/ls560673031/
https://www.imdb.com/list/ls560673012/
https://www.imdb.com/list/ls560673016/
https://www.imdb.com/list/ls560673011/
https://www.imdb.com/list/ls560673015/
https://www.imdb.com/list/ls560671888/
https://www.imdb.com/list/ls560671889/
https://www... | [
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DongHyoungLee/distilbert-base-uncased-finetuned-cola | [
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"tensorboard",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
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] | text-classification | {
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... | 27 | 2022-05-11T04:19:42Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: single_label_N_max
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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DongHyoungLee/kogpt2-base-v2-finetuned-kogpt2_nsmc_single_sentence_classification | [] | 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: 215.32 +/- 46.32
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Dongmin/testmodel | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
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},
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"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 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: 173.71 +/- 111.75
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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Waynehillsdev/Wayne_NLP_mT5 | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
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},
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"no_repeat... | 11 | 2022-05-11T05:31:27Z | ---
license: afl-3.0
---
SalamaThanks Transformer for English-to-Filipino Text Translation version 1.
Based on the Helsinki-NLP/opus-mt-en-tl transformer model. | [
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Doogie/Waynehills-KE-T5-doogie | [] | null | {
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"num_beams... | 0 | null | ---
license: afl-3.0
---
SalamaThanks Transformer for Filipino-to-English Text Translation version 1.
Based on the Helsinki-NLP/opus-mt-tl-en transformer model. | [
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Waynehillsdev/Waynehills-STT-doogie-server | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
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],
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"no_repeat_ngram_s... | 61 | null | ---
license: afl-3.0
---
SalamaThanks Transformer for English-to-Filipino Text Translation version 2.
A finetuned transformer model based on the Helsinki-NLP/opus-mt-en-tl transformer model. | [
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... |
Waynehillsdev/waynehills_sentimental_kor | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"ElectraForSequenceClassification"
],
"model_type": "electra",
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"... | 33 | 2022-05-11T05:42:28Z | ---
license: afl-3.0
---
SalamaThanks Transformer for Filipino-to-English Text Translation version 2.
A finetuned model based on the Helsinki-NLP/opus-mt-en-tl transformer model. | [
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0.0357... |
Doohae/p_encoder | [
"pytorch"
] | null | {
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"num_beams... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: unique_N_max
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. -->
# unique_N_max
This mod... | [
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0.0447... |
Doohae/roberta | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
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"no_re... | 3 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluster... | [
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0.00234610796906054,
0.04092745... |
Doquey/DialoGPT-small-Luisbot1 | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 7 | 2022-05-11T06:24:56Z | ---
license: mit
language: de
pipeline_tag: text-generation
widget:
- text: "In einer schockierenden Entdeckung fanden Wissenschaftler eine Herde Einhörner, die in "
example_title: "Einhörner ..."
- text: |-
Definiere folgende Wörter
Wort: Einhorn
Definition: Das Einhorn ist ein Fabelwesen von Pferde- od... | [
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-0.022393928840756416,
0.037... |
DoyyingFace/bert-COVID-HATE-finetuned-test | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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"no_rep... | 29 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluster... | [
-0.03682786226272583,
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0.013144438154995441,
0.00234610796906054,
0.04092745... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-12 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 29 | null | ---
language:
- vi
tags:
- capitalization
- punctuation
- token-classification
license: cc-by-sa-4.0
datasets:
- oscar-corpus/OSCAR-2109
metrics:
- accuracy
- precision
- recall
- f1
---
# ✨ vibert-capitalization-punctuation
This a [viBERT](https://huggingface.co/FPTAI/vibert-base-cased) model finetuned for punctuation... | [
0.002330185379832983,
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0.0018998662708327174,
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0.05553596094250679,
0.024939576163887978,
-0.01863487996160984,
0.028785688802599907,
0.04... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_rep... | 44 | null | ---
language:
- vi
tags:
- capitalization
- punctuation
- token-classification
license: cc-by-sa-4.0
datasets:
- oscar-corpus/OSCAR-2109
metrics:
- accuracy
- precision
- recall
- f1
---
# ✨ xlm-roberta-capitalization-punctuation
This a [XLM-RoBERTa](https://huggingface.co/xlm-roberta-base) model finetuned for Vietname... | [
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0.023281918838620186,
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0.019063079729676247,
0.... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"min_length": null,
"no_rep... | 30 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
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0.0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"no_rep... | 37 | 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: 291.52 +/- 22.96
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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0.03230414539575577,
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0.01638955995440483,
-0.00... |
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