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 |
|---|---|---|---|---|---|---|---|
D3vil/DialoGPT-smaall-harrypottery | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-protagonist-english
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | [
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DSI/personal_sentiment | [
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"no_rep... | 25 | null | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-protagonist-english-pc
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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DTAI-KULeuven/mbert-corona-tweets-belgium-curfew-support | [
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"nl",
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"en",
"arxiv:2104.09947",
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"no_rep... | 29 | 2022-05-18T15:31:34Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: -143.18 +/- 62.58
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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alexandrainst/da-emotion-classification-base | [
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"no_rep... | 837 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: hubert-base-cc-finetuned-forum
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. -->
# hube... | [
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alexandrainst/da-subjectivivity-classification-base | [
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"tf",
"safetensors",
"bert",
"text-classification",
"da",
"dataset:DDSC/twitter-sent",
"dataset:DDSC/europarl",
"transformers",
"license:cc-by-sa-4.0"
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"no_rep... | 846 | null | ---
tags:
- generated_from_trainer
model-index:
- name: deep-pavlov-full-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deep-pavlov-full-2
This model is a ... | [
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alexandrainst/da-hatespeech-detection-small | [
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"... | 1,506 | null | ---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_sdoh_roberta_cui
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8016997167
- name: NER Recall
type: recall
value: 0.752659574... | [
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alexandrainst/da-ned-base | [
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"text-classification",
"da",
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"license:cc-by-sa-4.0"
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... | 25 | 2022-05-18T17:36:00Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 165.66 +/- 64.55
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Daiki/scibert_scivocab_uncased-finetuned-cola | [] | null | {
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"num_beams... | 0 | 2022-05-18T18:01:43Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 286.33 +/- 8.54
name: mean_reward
task:
type: reinforcement-learning
name: rei... | [
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Dazai/Ok | [] | 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: 108.15 +/- 153.65
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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Declan/Breitbart_modelv7 | [] | null | {
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"num_beams... | 0 | null | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln45")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln45")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tra... | [
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Declan/CNN_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
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"no_repeat_ngram_size... | 7 | null | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- priyamm/autotrain-data-KeywordExtraction
co2_eq_emissions: 0.21373468108000182
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 882328335
- CO2 Emissions (in grams): 0.21373468108000182
## Validat... | [
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Declan/CNN_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 5 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 164.44 +/- 115.97
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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Declan/FoxNews_model_v2 | [
"pytorch",
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"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
language: en
tags: grs
---
## Citation
Please star the [GRS GitHub repo](https://github.com/imohammad12/GRS) and cite the paper if you found our model useful:
```
@inproceedings{dehghan-etal-2022-grs,
title = "{GRS}: Combining Generation and Revision in Unsupervised Sentence Simplification",
author = "Deh... | [
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Declan/HuffPost_model_v8 | [
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"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
datasets:
- food101
metrics:
- accuracy
model-index:
- name: vit-base-food101-demo-v5
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: food101
type: food101
config: de... | [
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Declan/NewYorkPost_model_v1 | [] | null | {
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"num_beams... | 0 | 2022-05-19T03:37:09Z | ---
language: en
thumbnail: http://www.huggingtweets.com/lightcrypto-sergeynazarov/1652931465147/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-r... | [
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Declan/NewYorkTimes_model_v3 | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: rob2rand_chen
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. -->
# rob2rand_chen
This model was trained fro... | [
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"no_repeat_ngram_size... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt14
model-index:
- name: opus-mt-en-de-finetuned-de-to-en
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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DeepPavlov/marianmt-tatoeba-ruen | [
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] | text2text-generation | {
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"no_repeat_ngram_size... | 30 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Boglinger/mt5-small-klex
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. -->
# Boglinger... | [
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... |
DeepPavlov/roberta-large-winogrande | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:winogrande",
"arxiv:1907.11692",
"transformers"
] | text-classification | {
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"RobertaForSequenceClassification"
],
"model_type": "roberta",
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},
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"min_length": null,
"... | 348 | null | ---
language: en
---
# UnifiedQA-Reddit-SYAC
This is an abstractive title answering (TA) / clickbait spoiling model.
This is a variant of [allenai/unifiedqa-t5-large](https://huggingface.co/allenai/unifiedqa-t5-large), fine-tuned on the Reddit SYAC dataset.
The model was trained as part of my masters thesis:
_A... | [
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0... |
DeepPavlov/rubert-base-cased | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"ru",
"arxiv:1905.07213",
"transformers",
"has_space"
] | feature-extraction | {
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],
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"no_repeat_ngram_size": nul... | 148,127 | null | ---
pipeline_tag: text-classification
language:
- nl
tags:
- text classification
- sentiment analysis
- domain adaptation
widget:
- text: "De NMBS heeft recent de airconditioning in alle treinen vernieuwd."
example_title: "POS-NMBS"
- text: "De wegenwerken langs de E34 blijven al maanden aanhouden."
exam... | [
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0... |
DeepPavlov/xlm-roberta-large-en-ru-mnli | [
"pytorch",
"xlm-roberta",
"text-classification",
"en",
"ru",
"dataset:glue",
"dataset:mnli",
"transformers",
"xlm-roberta-large",
"xlm-roberta-large-en-ru",
"xlm-roberta-large-en-ru-mnli",
"has_space"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
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},
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"min_length": null,
... | 227 | 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: -168.47 +/- 71.64
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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-0... |
DeltaHub/adapter_t5-3b_cola | [
"pytorch",
"transformers"
] | null | {
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"num_beams... | 3 | null | ---
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-scratch-powo_mgh_pt
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. -->
# bert-base-uncased... | [
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-0.00360794947482645... |
DeltaHub/lora_t5-base_mrpc | [
"pytorch",
"transformers"
] | null | {
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},
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"num_beams... | 3 | 2022-05-19T11:03:06Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_trainer
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. -->
# te... | [
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0.0009402685682289302,
0... |
Denilson/gbert-base-germaner | [] | null | {
"architectures": null,
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"task_specific_params": {
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},
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"num_beams... | 0 | 2022-05-19T11:18:50Z | ---
tags:
- conversational
---
# mawaidhaChatbot Model | [
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0... |
Deniskin/gpt3_medium | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 52 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: Boglinger/mt5-small-german-finetune-mlsum-klex
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. -->
# Bogling... | [
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0.02... |
Denny29/DialoGPT-medium-asunayuuki | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
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- nso
- ny
- or
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- pt
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- tn
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- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zhs
- zht
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pipeline_tag: text-gener... | [
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0.030267486348748207,
... |
Denver/distilbert-base-uncased-finetuned-squad | [] | null | {
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},
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"num_beams... | 0 | null | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
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- eu
- fon
- fr
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pipeline_tag: text-gener... | [
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0.0... |
DeskDown/MarianMixFT_en-fil | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
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"no_repeat_ngram_size... | 3 | null | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
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pipeline_tag: text-gener... | [
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... |
DeskDown/MarianMixFT_en-hi | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
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"no_repeat_ngram_size... | 3 | 2022-05-19T11:52:27Z | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
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pipeline_tag: text-gener... | [
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0... |
DeskDown/MarianMixFT_en-ja | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_repeat_ngram_size... | 9 | null | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
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pipeline_tag: text-gener... | [
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0.0... |
DeskDown/MarianMixFT_en-ms | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat_ngram_size... | 5 | null | ---
license: bigscience-bloom-rail-1.0
language:
- ak
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- ca
- code
- en
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programming_language:
- C
- C++
- C... | [
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DeskDown/MarianMix_en-zh_to_vi-ms-hi-ja | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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],
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"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | [
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DevsIA/imagenes | [] | null | {
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"num_beams... | 0 | 2022-05-19T13:02:01Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | [
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0... |
DewiBrynJones/wav2vec2-large-xlsr-welsh | [
"cy",
"dataset:common_voice",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
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"num_beams... | 0 | null | ---
language: en
tags:
- scibert
- token-classification
- medical-domain
metrics:
- f1
- precision
- recall
dataset:
- Mathking/primary_outcomes
widget:
- text: "The FIRST primary outcome is pain at 12 months as measured by the VAS. The primary analysis is to assess whether surgical correction "
example_title: "PubMe... | [
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DheerajPranav/Dialo-GPT-Rick-bot | [] | null | {
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"num_beams... | 0 | 2022-05-19T13:06:45Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 289.34 +/- 23.86
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Dhritam/Zova-bot | [] | null | {
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"num_beams... | 0 | 2022-05-19T13:22:49Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 265.29 +/- 18.80
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: fairseq
task: text-to-speech
tags:
- fairseq
- audio
- text-to-speech
language: en
datasets:
- ljspeech
widget:
- text: "Hello, this is a test run."
example_title: "Hello, this is a test run."
---
# fastspeech2-en-ljspeech
[FastSpeech 2](https://arxiv.org/abs/2006.04558) text-to-speech model from f... | [
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DicoTiar/wisdomfiy | [
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"no_repeat_ngram_size... | 3 | 2022-05-19T13:36:45Z | swadeshi_hindiwav2vec2asr/ is a Hindi speech recognition model which is a fine tuned version of the theainerd/Wav2Vec2-large-xlsr-hindi model. The model achieved a Word Error Rate of 0.738 when trained with 12 Hours of MUCS data with 30 epochs and given a batch size of 12. | [
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DingleyMaillotUrgell/homer-bot | [
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"en",
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"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 12 | null | Note: This recipe is trained with the codes from this PR https://github.com/k2-fsa/icefall/pull/349
# Pre-trained Transducer-Stateless2 models for the WenetSpeech dataset with icefall.
The model was trained on the L subset of WenetSpeech with the scripts in [icefall](https://github.com/k2-fsa/icefall) based on the late... | [
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Doquey/DialoGPT-small-Luisbot1 | [
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"no_repeat_ngram_size... | 7 | 2022-05-19T17:40:36Z | ---
license: other
tags:
- generated_from_trainer
- opt
- custom-license
- no-commercial
- email
- auto-complete
datasets:
- aeslc
widget:
- text: "Hey <NAME>,\n\nThank you for signing up for my weekly newsletter. Before we get started, you'll have to confirm your email address."
example_title: "newsletter"
- text:... | [
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Doxophobia/DialoGPT-medium-celeste | [
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"no_repeat_ngram_size... | 11 | 2022-05-19T17:54:04Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-query
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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albert-xlarge-v1 | [
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"en",
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"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
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] | fill-mask | {
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"no_repeat_ngram_... | 341 | 2022-05-19T20:50:04Z | ---
library_name: stable-baselines3
tags:
- Pendulum-v1
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- metrics:
- type: mean_reward
value: -141.19 +/- 122.27
name: mean_reward
task:
type: reinforcement-learning
name: rei... | [
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albert-xlarge-v2 | [
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"transformers",
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"no_repeat_ngram_... | 2,973 | 2022-05-19T20:59:29Z | ---
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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albert-xxlarge-v1 | [
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"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
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"no_repeat_ngram_... | 7,091 | 2022-05-19T21:12:23Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 193.96 +/- 43.39
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 11,644 | 2022-05-19T21:25:04Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-homedepot
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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bert-base-cased | [
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"dataset:wikipedia",
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] | fill-mask | {
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"no_repeat_ngram_size... | 8,621,271 | 2022-05-19T21:58:14Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: sentiment-analysis-model-for-socialmedia
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
me... | [
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bert-base-chinese | [
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"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"transformers",
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] | fill-mask | {
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"no_repeat_ngram_size... | 3,377,486 | 2022-05-19T22:07:03Z | ---
tags:
- generated_from_trainer
datasets:
- scitldr
model-index:
- name: pegasus-scitldr
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. -->
# pegasus-scitldr
Th... | [
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bert-base-german-cased | [
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"bert",
"fill-mask",
"de",
"transformers",
"exbert",
"license:mit",
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] | fill-mask | {
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"no_repeat_ngram_size... | 175,983 | 2022-05-19T22:36:14Z | ---
library_name: stable-baselines3
tags:
- CartPole-v1
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 500.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinfo... | [
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bert-base-german-dbmdz-uncased | [
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"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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],
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},
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"no_repeat_ngram_size... | 68,305 | 2022-05-19T23:01:14Z | A facebook/opt-125m model trained on SQUAD for extractive question answering.
To use the model format input in the following manner:
"(Context Text)\nQuestion:(Question Text)\nAnswer:"
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bert-base-multilingual-cased | [
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"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
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],
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"no_repeat_ngram_size... | 4,749,504 | 2022-05-19T23:08:31Z | ---
library_name: stable-baselines3
tags:
- MountainCar-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: -103.40 +/- 7.49
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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bert-large-cased-whole-word-masking | [
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"jax",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
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"no_repeat_ngram_size... | 2,316 | 2022-05-20T00:20:50Z | ---
tags:
- conversational
---
# mawaidhaChatbot Model | [
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"no_repeat_ngram_size... | 388,769 | null | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: en_nso_ukuxhumana_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"no_repeat_n... | 480,510 | 2022-05-20T00:57:19Z | ---
library_name: stable-baselines3
tags:
- FrozenLake-v1
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 0.78 +/- 0.42
name: mean_reward
task:
type: reinforcement-learning
name: reinfo... | [
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camembert-base | [
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"fr",
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"transformers",
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"no_repeat_... | 1,440,898 | 2022-05-20T01:34:52Z | ---
language: en
thumbnail: http://www.huggingtweets.com/vgdunkey/1658553242358/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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openai-gpt | [
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] | text-generation | {
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"no_repeat... | 65,432 | 2022-05-20T05:27:45Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 219.13 +/- 23.38
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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A-bhimany-u08/bert-base-cased-qqp | [
"pytorch",
"bert",
"text-classification",
"dataset:qqp",
"transformers"
] | text-classification | {
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"no_rep... | 138 | 2022-05-20T16:35:43Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.56 +/- 2.71
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
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Aarbor/xlm-roberta-base-finetuned-marc-en | [] | null | {
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"num_beams... | 0 | 2022-05-21T09:01:03Z | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 280.46 +/- 18.03
name: mean_reward
task:
type: reinforcement-learning
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AdapterHub/roberta-base-pf-newsqa | [
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] | question-answering | {
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"num_... | 8 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-8x8-slippery
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforcem... | [
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AetherIT/DialoGPT-small-Hal | [
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"num_beams... | 0 | null | ---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-slippery-v3
results:
- metrics:
- type: mean_reward
value: 0.81 +/- 0.39
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learn... | [
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Alexander-Learn/bert-finetuned-ner | [
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] | token-classification | {
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"no_repeat... | 8 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learn... | [
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Allybaby21/Allysai | [] | null | {
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"num_beams... | 0 | null | ## This model belongs to the Styleformer project
[Please refer to github page](https://github.com/PrithivirajDamodaran/Styleformer)
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AmirHussein/test | [] | null | {
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tags:
- generated_from_trainer
model-index:
- name: ar-adapter-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. -->
# ar-adapter-32
This model was trained fro... | [
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AnonymousSub/AR_EManuals-BERT | [
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"no_repeat_ngram_size": nul... | 5 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.56 +/- 2.71
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
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AnonymousSub/SR_rule_based_hier_quadruplet_epochs_1_shard_1 | [
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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: 149.42 +/- 111.62
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_wikiqa | [
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"no_rep... | 28 | null | ---
language: cs
widget:
- text: "Umělá inteligence pomůže lidstvu překonat budoucí"
example_title: "Umělá inteligence ..."
- text: "Současný pokrok v oblasti umělých neuronových sítí představuje"
example_title: "Současný pokrok ..."
- text: "Z hlediska obecné teorie relativity"
example_title: "Z hlediska ..."
- ... | [
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AnonymousSub/rule_based_roberta_hier_triplet_0.1_epochs_1_shard_1 | [
"pytorch",
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"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size... | 6 | null | ---
library_name: stable-baselines3
tags:
- Pendulum-v1
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: TQC
results:
- metrics:
- type: mean_reward
value: -171.32 +/- 96.54
name: mean_reward
task:
type: reinforcement-learning
name: rein... | [
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AnonymousSub/rule_based_roberta_hier_triplet_0.1_epochs_1_shard_1_squad2.0 | [
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"no_re... | 2 | null | ---
tags:
- translation
metrics:
- bleu
model-index:
- name: mbart50-finetuned-multi30-en-to-de
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. -->
# mbart50-finetun... | [
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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: 230.42 +/- 83.51
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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"no_repeat_ngram_size... | 7 | null | This model, DeLADE+[CLS], is trained by fusing neural lexical and semantic components in single transformer using DistilBERT as a backbone.
*[A Dense Representation Framework for Lexical and Semantic Matching](https://arxiv.org/pdf/2112.04666.pdf)* Sheng-Chieh Lin and Jimmy Lin.
You can find the usage of the model i... | [
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"... | 27 | null | ---
language:
- cs
- cs
tags:
- abstractive summarization
- mbart-cc25
- Czech
license: apache-2.0
datasets:
- private CNC dataset news-based
metrics:
- rouge
- rougeraw
---
# mBART fine-tuned model for Czech abstractive summarization (HT2A-C)
This model is a fine-tuned checkpoint of [facebook/mbart-large-cc25](https:... | [
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license: mit
tags:
- generated_from_trainer
datasets:
- adversarial_qa
model-index:
- name: deberta-base-finetuned-squad1-aqa
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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"... | 24 | null | ---
language: en
tags:
- science
- multi-displinary
license: apache-2.0
---
# ScholarBERT_100 Model
This is the **ScholarBERT_100** variant of the ScholarBERT model family.
The model is pretrained on a large collection of scientific research articles (**221B tokens**).
This is a **cased** (case-sensitive) model. Th... | [
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"no_repeat_ngram_size... | 5 | null | ---
language: en
tags:
- science
- multi-displinary
license: apache-2.0
---
# ScholarBERT-XL_100 Model
This is the **ScholarBERT-XL_100** variant of the ScholarBERT model family.
The model is pretrained on a large collection of scientific research articles (**221B tokens**).
This is a **cased** (case-sensitive) mod... | [
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"no_repeat_ngram_size... | 6 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-base-combined-squad1-aqa
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. -->
# deberta-b... | [
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"no_rep... | 27 | null | ---
language: en
tags:
- science
- multi-displinary
license: apache-2.0
---
# ScholarBERT_100_WB Model
This is the **ScholarBERT_100_WB** variant of the ScholarBERT model family.
The model is pretrained on a large collection of scientific research articles (**221B tokens**).
Additionally, the pretraining data also i... | [
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"no_rep... | 26 | null | ---
language: en
tags:
- science
- multi-displinary
license: apache-2.0
---
# ScholarBERT_10_WB Model
This is the **ScholarBERT_10_WB** variant of the ScholarBERT model family.
The model is pretrained on a large collection of scientific research articles (**22.1B tokens**).
Additionally, the pretraining data also in... | [
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AnonymousSub/unsup-consert-base_squad2.0 | [
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"transformers",
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"no_repeat_n... | 2 | null | ---
language: en
tags:
- science
- multi-displinary
license: apache-2.0
---
# ScholarBERT-XL_1 Model
This is the **ScholarBERT-XL_1** variant of the ScholarBERT model family.
The model is pretrained on a large collection of scientific research articles (**2.2B tokens**).
This is a **cased** (case-sensitive) model. ... | [
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AnonymousSub/unsup-consert-emanuals | [
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language:
- en
datasets:
- amazon_reviews_multi
tags:
- summarization
license: apache-2.0
---
T5-base model for text summarization finetuned on subset of amazon reviews for english language.
## Rouge scores
- Rouge 1 : 0.5019
- Rouge 2 : 0.4226
- Rouge L : 0.4877
- Rouge Lsum : 0.4877 | [
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AnonymousSub/unsup-consert-papers-bert | [
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language:
- cs
- cs
tags:
- abstractive summarization
- mbart-cc25
- Czech
license: apache-2.0
datasets:
- SumeCzech dataset news-based
metrics:
- rouge
- rougeraw
---
# mBART fine-tuned model for Czech abstractive summarization (HT2A-S)
This model is a fine-tuned checkpoint of [facebook/mbart-large-cc25](https://... | [
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Anonymreign/savagebeta | [] | null | {
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"num_beams... | 0 | null | ---
language:
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- cs
tags:
- abstractive summarization
- mbart-cc25
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license: apache-2.0
datasets:
- SumeCzech dataset news-based
metrics:
- rouge
- rougeraw
---
# mBART fine-tuned model for Czech abstractive summarization (AT2H-S)
This model is a fine-tuned checkpoint of [facebook/mbart-large-cc25](https://... | [
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AnthonyNelson/DialoGPT-small-ricksanchez | [
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"transformers",
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] | conversational | {
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"no_repeat_ngram_size... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-6
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. -->
# wav2vec2-6
This model i... | [
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Anthos23/my-awesome-model | [
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"transformers"
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"... | 30 | null | Work in progress <br>
Finetuned model for abstractive summarization coming soon <br> | [
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AntonClaesson/movie-plot-generator | [
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language:
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- cs
tags:
- abstractive summarization
- mbart-cc25
- Czech
license: apache-2.0
datasets:
- private Czech News Center dataset news-based
- SumeCzech dataset news-based
metrics:
- rouge
- rougeraw
---
# mBART fine-tuned model for Czech abstractive summarization (AT2H-CS)
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Antony/mint_model | [] | null | {
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language:
- cs
- cs
tags:
- Summarization
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- Czech
license: apache-2.0
datasets:
- private Czech News Center dataset news-based
- SumeCzech dataset news-based
metrics:
- rouge
- rougeraw
---
# mBART fine-tuned model for Czech abstractive summarization (HT2A-CS)
This model is... | [
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Anubhav23/model_name | [] | null | {
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tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforc... | [
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Apisate/Discord-Ai-Bot | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"min_length": null,
"no_repeat_ngram_size... | 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: 205.73 +/- 73.16
name: mean_reward
task:
type: reinforcement-learning
name: re... | [
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Appolo/TestModel | [] | null | {
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"num_beams... | 0 | 2022-05-23T00:50:06Z | ---
tags:
- espnet
- audio
- automatic-speech-recognition
language: be
datasets:
- commonvoice
license: cc-by-4.0
---
## ESPnet2 ASR model
### `espnet/belarusian_commonvoice_blstm`
This model was trained by dzeinali using commonvoice recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ES... | [
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ArBert/albert-base-v2-finetuned-ner-agglo-twitter | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"AlbertForTokenClassification"
],
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"min_length": null,
"no_re... | 27 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-turkish-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, the... | [
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0... |
ArBert/albert-base-v2-finetuned-ner-agglo | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
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},
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"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: bert_sentence_classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | [
-0.0014283841010183096,
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ArBert/albert-base-v2-finetuned-ner-gmm-twitter | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
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},
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"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
language: ko
tags:
- korean
---
https://github.com/BM-K/Sentence-Embedding-is-all-you-need
# Korean-Sentence-Embedding
🍭 Korean sentence embedding repository. You can download the pre-trained models and inference right away, also it provides environments where individuals can train models.
## Quick tour
```py... | [
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ArBert/albert-base-v2-finetuned-ner-kmeans-twitter | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"min_length": null,
"no_re... | 10 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.56 +/- 2.71
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
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0.... |
ArBert/bert-base-uncased-finetuned-ner-gmm | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
model-index:
- name: Gusteau
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. -->
# Gusteau
This model is a fine-tuned version of ... | [
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ArBert/bert-base-uncased-finetuned-ner-kmeans-twitter | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- espnet
- audio
- automatic-speech-recognition
language: noinfo
datasets:
- bn_openslr53
license: cc-by-4.0
---
## ESPnet2 ASR model
### `espnet/bengali_blstm`
This model was trained by dzeinali using bn_openslr53 recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
``... | [
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0.01... |
ArBert/roberta-base-finetuned-ner-agglo | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: orchid219_ft_vit-large-patch16-224-in21k-finetuned-eurosat
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
args... | [
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ArBert/roberta-base-finetuned-ner-gmm-twitter | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: finetuning-sentiment-analysis-en-id
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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0.0... |
Araby/Arabic-TTS | [] | null | {
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"num_beams... | 0 | 2022-05-23T03:07:50Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xlsr-mn-eng
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. -->
# wav2vec2-xlsr-... | [
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Aracatto/Catto | [] | null | {
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"num_beams... | 0 | null | # Introduction
See https://github.com/k2-fsa/icefall/pull/330
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Araf/Ummah | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | null | ---
language:
- zh
inference:
parameters:
temperature: 0.7
top_p: 0.6
repetition_penalty: 1.1
max_new_tokens: 128
num_return_sequences: 3
do_sample: true
license: apache-2.0
tags:
- generate
- gpt2
widget:
- 北京是中国的
- 西湖的景色
---
# Wenzhong-GPT2-110M
- Github: [Fengshenbang-LM](https://... | [
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0.0... |
Aran/DialoGPT-medium-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 8 | 2022-05-23T03:36:04Z | # Introduction
See https://github.com/k2-fsa/icefall/pull/330
No random combiner inside.
Tensorboard log: https://tensorboard.dev/experiment/VKoVx6IZTBuGCJN9kt72BQ/
| [
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ArashEsk95/bert-base-uncased-finetuned-cola | [] | null | {
"architectures": null,
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},
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"max_length": null,
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | # Introduction
See https://github.com/k2-fsa/icefall/pull/330
No random combiner inside.
Tensorboard logs: https://tensorboard.dev/experiment/vZGRckYUR4eNjnBJ9AOEkg/
| [
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