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 |
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CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-glf | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-msa | [
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language: en
license: apache-2.0
datasets:
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---
# Funnel Transformer intermediate model (B6-6-6 without decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced i... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment | [
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language: en
license: apache-2.0
datasets:
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---
# Funnel Transformer intermediate model (B6-6-6 with decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
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CAMeL-Lab/bert-base-arabic-camelbert-ca | [
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language: en
license: apache-2.0
datasets:
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---
# Funnel Transformer large model (B8-8-8 without decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
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CAMeL-Lab/bert-base-arabic-camelbert-da-ner | [
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language: en
license: apache-2.0
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---
# Funnel Transformer large model (B8-8-8 with decoder)
Pretrained model on English language using a similar objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
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CAMeL-Lab/bert-base-arabic-camelbert-da-poetry | [
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"no_rep... | 37 | null | ---
language: en
license: apache-2.0
datasets:
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---
# Funnel Transformer medium model (B6-3x2-3x2 without decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy | [
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"no_repeat... | 32 | null | ---
language: en
license: apache-2.0
datasets:
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---
# Funnel Transformer medium model (B6-3x2-3x2 with decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
[th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf | [
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"no_repeat... | 54 | null | ---
language: en
license: apache-2.0
datasets:
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---
# Funnel Transformer small model (B4-4-4 without decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
[this... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-msa | [
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"no_repeat... | 27 | null | ---
language: en
license: apache-2.0
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---
# Funnel Transformer small model (B4-4-4 with decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
[this pa... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment | [
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"no_rep... | 19,850 | null | ---
language: en
license: apache-2.0
datasets:
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---
# Funnel Transformer xlarge model (B10-10-10 without decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
[... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da | [
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"no_repeat_ngram_size... | 449 | null | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
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---
# Funnel Transformer xlarge model (B10-10-10 with decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
[thi... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy | [
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"no_repeat... | 62 | null | ---
license: apache-2.0
tags:
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model-index:
- name: t5-base-finetuned-bbc-headline
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-b... | [
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"no_repeat... | 132 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-finetuned-bbc
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-base-finet... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa | [
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"no_repeat... | 1,862 | null | ---
license: apache-2.0
tags:
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model-index:
- name: t5-small-finetuned-bbc-headline
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment | [
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"no_rep... | 855 | null | ---
license: apache-2.0
tags:
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metrics:
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model-index:
- name: t5-small-finetuned-bbc
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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CAMeL-Lab/bert-base-arabic-camelbert-mix | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"Arabic",
"Dialect",
"Egyptian",
"Gulf",
"Levantine",
"Classical Arabic",
"MSA",
"Modern Standard Arabic",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 20,880 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
model-index:
- name: t5-small-finetuned-xsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-egy | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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],
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},
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"no_repeat... | 52 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-wikitext2
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... | [
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0.043... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-glf | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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"BertForTokenClassification"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat... | 21 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | [
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0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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"BertForTokenClassification"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat... | 133 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-wikitext2
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. -->
# gpt2-wikitext2
This model ... | [
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CBreit00/DialoGPT_small_Rick | [] | null | {
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"num_beams... | 0 | null | ---
language:
- es
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-common_voice-es-demo
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to.... | [
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0.0... |
CLAck/en-km | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
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"no_repeat_ngram_size... | 12 | null | ---
tags:
- conversational
- tagalog
- filipino
language:
- tl
---
# Tagalog DialoGPT
This is an extension of the base Tagalog DialoGPT model (https://huggingface.co/gabtan99/dialogpt-tagalog-medium).
This model is trained on 52K original conversations and 52K synthetic conversations, where 10% of tokens in each... | [
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CLAck/en-vi | [
"pytorch",
"marian",
"text2text-generation",
"en",
"vi",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | {
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"MarianMTModel"
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"no_repeat_ngram_size... | 8 | null | ---
tags:
- conversational
- tagalog
- filipino
inference: false
language:
- tl
---
# Tagalog DialoGPT
This is an extension of the base Tagalog DialoGPT model (https://huggingface.co/gabtan99/dialogpt-tagalog-medium).
This model is trained on 52K original conversations and 52K synthetic conversations, where 20... | [
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CLAck/indo-mixed | [
"pytorch",
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"text2text-generation",
"en",
"id",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | {
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"no_repeat_ngram_size... | 15 | null | ---
tags:
- conversational
- tagalog
- filipino
inference: false
language:
- tl
---
# Tagalog DialoGPT
This is an extension of the base Tagalog DialoGPT model (https://huggingface.co/gabtan99/dialogpt-tagalog-medium).
This model is trained on 52K original conversations and 52K synthetic conversations, where 30% ... | [
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0.... |
CLAck/indo-pure | [
"pytorch",
"marian",
"text2text-generation",
"en",
"id",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 4 | null | ---
tags:
- conversational
- tagalog
- filipino
language:
- tl
inference: false
datasets:
- gabtan99/pex-conversations
---
# Tagalog DialoGPT
A DialoGPT-medium model fine-tuned on Tagalog conversational data scraped from the web. This model is an output of a research on RoBERTa-based data augmentation for low reso... | [
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0.... |
CLAck/vi-en | [
"pytorch",
"marian",
"text2text-generation",
"en",
"vi",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
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},
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"no_repeat_ngram_size... | 6 | null | I am adding my first README in order to test the interface. How good is it really? | [
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CLEE/CLEE | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
---
This model is used in the paper **Generative Relation Linking for Question Answering over Knowledge Bases**. [ArXiv](https://arxiv.org/abs/2108.07337), [GitHub](https://github.com/IBM/kbqa-relation-linking)
## Citation
```bibtex
@inproceedings{rossiello-genrl-2021,
title={Generat... | [
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0.026867274194955826,... |
CLTL/MedRoBERTa.nl | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
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],
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"no_repeat_ngra... | 2,988 | null | ---
license: apache-2.0
---
This model is used in the paper **Generative Relation Linking for Question Answering over Knowledge Bases**. [ArXiv](https://arxiv.org/abs/2108.07337), [GitHub](https://github.com/IBM/kbqa-relation-linking)
## Citation
```bibtex
@inproceedings{rossiello-genrl-2021,
title={Generat... | [
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CLTL/gm-ner-xlmrbase | [
"pytorch",
"tf",
"xlm-roberta",
"token-classification",
"nl",
"transformers",
"dighum",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"XLMRobertaForTokenClassification"
],
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... | 2 | null | ---
license: apache-2.0
---
This model is used in the paper **Generative Relation Linking for Question Answering over Knowledge Bases**. [ArXiv](https://arxiv.org/abs/2108.07337), [GitHub](https://github.com/IBM/kbqa-relation-linking)
## Citation
```bibtex
@inproceedings{rossiello-genrl-2021,
title={Generat... | [
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0.026867274194955826,... |
Cameron/BERT-SBIC-offensive | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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"no_rep... | 31 | null | # Leetcode using AI :robot:
GPT-2 Model for Leetcode Questions in python
**Note**: the Answers might not make sense in some cases because of the bias in GPT-2
**Contribtuions:** If you would like to make the model better contributions are welcome Check out [CONTRIBUTIONS.md](https://github.com/gagan3012/project-code... | [
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Capreolus/bert-base-msmarco | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"arxiv:2008.09093",
"transformers"
] | text-classification | {
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"no_rep... | 238 | null | ---
language:
- hi-en
tags:
- sentiment
- multilingual
- hindi codemix
- hinglish
license: apache-2.0
datasets:
- sail
---
# Sentiment Classification for hinglish text: `gk-hinglish-sentiment`
## Model description
Trained small amount of reviews dataset
## Intended uses & limitations
I wanted something to work w... | [
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dccuchile/albert-base-spanish-finetuned-xnli | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
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},
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"no... | 28 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# gaussfer/test_simcse_new
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 ... | [
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dccuchile/albert-large-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
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"no_re... | 1 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-finetuned-pubmed
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-finetune... | [
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0.0... |
dccuchile/albert-large-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-mlm-pubmed-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 this comment. -->
# bart-mlm-pubmed-... | [
-0.014040767215192318,
-0.008497044444084167,
-0.016751859337091446,
0.04285072162747383,
0.015335346572101116,
0.01887098141014576,
-0.02572799287736416,
-0.012496180832386017,
-0.029446586966514587,
0.05243666470050812,
0.03703581914305687,
-0.03491409495472908,
0.01823050156235695,
0.01... |
dccuchile/albert-tiny-spanish-finetuned-mldoc | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 32 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-mlm-pubmed-35
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. -->
# bart-mlm-pubmed-... | [
-0.01393109280616045,
-0.008602269925177097,
-0.017525777220726013,
0.04274582490324974,
0.014480521902441978,
0.018633529543876648,
-0.02659110724925995,
-0.014091597869992256,
-0.026700589805841446,
0.05150986835360527,
0.03966405615210533,
-0.0354749895632267,
0.018991965800523758,
0.01... |
dccuchile/albert-tiny-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-mlm-pubmed-45
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. -->
# bart-mlm-pubmed-... | [
-0.014112256467342377,
-0.007697999011725187,
-0.016240904107689857,
0.04267733171582222,
0.013990534469485283,
0.019175423309206963,
-0.025920232757925987,
-0.014153986237943172,
-0.028307320550084114,
0.05208861827850342,
0.03839155659079552,
-0.033617280423641205,
0.019385462626814842,
... |
dccuchile/albert-tiny-spanish-finetuned-pawsx | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 29 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-mlm-pubmed-medterm
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. -->
# bart-mlm-pu... | [
-0.012223515659570694,
-0.009538115933537483,
-0.010518533177673817,
0.03766152262687683,
0.006540967617183924,
0.02154698595404625,
-0.025683904066681862,
-0.02179512195289135,
-0.020694972947239876,
0.04999900609254837,
0.03531196340918541,
-0.03150482848286629,
0.020631879568099976,
0.0... |
dccuchile/albert-tiny-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-mlm-pubmed
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-mlm-pubmed
Th... | [
-0.01601290889084339,
-0.008541685529053211,
-0.016943631693720818,
0.04253818094730377,
0.01439476478844881,
0.019308023154735565,
-0.02705623023211956,
-0.011224532499909401,
-0.028912412002682686,
0.053562961518764496,
0.037963420152664185,
-0.034596607089042664,
0.01994248852133751,
0.... |
dccuchile/albert-tiny-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-paraphrase-pubmed-1.1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-par... | [
-0.008375361561775208,
-0.013253219425678253,
-0.03103352151811123,
0.04934925213456154,
0.021810322999954224,
0.02349853515625,
-0.01227298378944397,
-0.010760337114334106,
-0.03670336678624153,
0.060740455985069275,
0.03306855633854866,
-0.020331215113401413,
0.016973303630948067,
0.0218... |
dccuchile/albert-tiny-spanish-finetuned-xnli | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 31 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-paraphrase-pubmed
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-paraphr... | [
-0.009833200834691525,
-0.011603903956711292,
-0.028673982247710228,
0.047002024948596954,
0.021988747641444206,
0.023664111271500587,
-0.015115669928491116,
-0.010857528075575829,
-0.037403423339128494,
0.06283565610647202,
0.03293529152870178,
-0.019980987533926964,
0.019868088886141777,
... |
dccuchile/albert-xlarge-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-pubmed
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-... | [
-0.009966357611119747,
-0.0015185460215434432,
0.018393686041235924,
0.019537845626473427,
0.022819314152002335,
-0.006409053225070238,
-0.02823067456483841,
-0.008003792725503445,
-0.026059774681925774,
0.04670488461852074,
0.021622834727168083,
-0.025510165840387344,
0.006492154207080603,
... |
dccuchile/albert-xlarge-spanish-finetuned-pawsx | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 24 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-mlm-pubmed-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 this comment. -->
# t5-small-mlm... | [
-0.015100637450814247,
-0.0025942770298570395,
0.007744453381747007,
0.027766328305006027,
0.027635278180241585,
-0.003664795309305191,
-0.022737625986337662,
-0.013226882554590702,
-0.026632899418473244,
0.04879126325249672,
0.019858386367559433,
-0.03561972826719284,
-0.0016126721166074276... |
dccuchile/albert-xlarge-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-mlm-pubmed-35
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-mlm... | [
-0.01504974253475666,
-0.002418582094833255,
0.007974687032401562,
0.02773619070649147,
0.028300197795033455,
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-0.024624362587928772,
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0.047083523124456406,
0.02337007038295269,
-0.033583689481019974,
-0.0014544095611199737,
... |
dccuchile/albert-xlarge-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-mlm-pubmed-45
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-mlm... | [
-0.014413737691938877,
-0.000622351304627955,
0.009563266299664974,
0.027939964085817337,
0.027363376691937447,
-0.003512343391776085,
-0.02479585073888302,
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-0.026219520717859268,
0.04773349314928055,
0.023176658898591995,
-0.033598776906728745,
0.00024252623552456498,... |
dccuchile/albert-xlarge-spanish-finetuned-xnli | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 29 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-mlm-pubmed
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-mlm-pu... | [
-0.015455140732228756,
-0.0020760511979460716,
0.008397255092859268,
0.0275132954120636,
0.02740328013896942,
-0.0029270814266055822,
-0.024409284815192223,
-0.012534976936876774,
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0.04907780513167381,
0.02126256749033928,
-0.035953279584646225,
-0.0006350206676870584,
... |
dccuchile/albert-xxlarge-spanish-finetuned-mldoc | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 26 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-paraphrase-pubmed
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small... | [
-0.00669028889387846,
-0.008118205703794956,
-0.004283997695893049,
0.034603916108608246,
0.03491275757551193,
0.000974677037447691,
-0.008070176467299461,
-0.011660601943731308,
-0.03469562530517578,
0.0578751377761364,
0.0210014246404171,
-0.024198364466428757,
0.0027360341046005487,
0.0... |
dccuchile/albert-xxlarge-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 28 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | [
-0.009486021474003792,
0.009904344566166401,
-0.02922571823000908,
0.03720694035291672,
0.06054852530360222,
0.03375036269426346,
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0.05606096610426903,
0.018864115700125694,
-0.0475318506360054,
0.035394005477428436,
0.04313... |
dccuchile/albert-xxlarge-spanish-finetuned-pawsx | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 26 | null | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- gborn/autonlp-data-news-summarization
co2_eq_emissions: 210.6348731063569
---
# Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 483413089
- CO2 Emissions (in grams): 210.6348731063569
## Validation Metrics
- Loss: 1... | [
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0.017237039282917976,
0.0259... |
dccuchile/albert-xxlarge-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 3 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-cased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
... | [
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0.04804472252726555,
0.021036164835095406,
0.004762327764183283,
0.02344398759305477,
0.0319241... |
dccuchile/albert-xxlarge-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 7 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-base-cased-finetuned-mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MNLI
type: g... | [
-0.02084457315504551,
0.007006996311247349,
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0.022608257830142975,
0... |
dccuchile/albert-xxlarge-spanish-finetuned-xnli | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 68 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert-base-cased-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
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"no_repeat_n... | 5 | 2021-09-23T04:24:07Z | ---
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"no_rep... | 39 | 2021-09-17T07:11:04Z | ---
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"no_repeat... | 5 | 2021-09-16T17:30:22Z | ---
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"no_rep... | 24 | 2021-09-17T18:09:22Z | ---
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"no_repeat... | 5 | 2021-09-18T18:23:31Z | ---
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"no_repeat_n... | 5 | 2021-09-19T05:47:14Z | ---
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] | text-classification | {
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"no_rep... | 36 | 2021-09-19T08:32:11Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: fnet-base-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
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dccuchile/distilbert-base-spanish-uncased-finetuned-mldoc | [
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] | text-classification | {
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... | 27 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: fnet-base-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-ner | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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... | 28 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: fnet-base-finetuned-wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: glue
... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-pawsx | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
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... | 29 | 2021-10-09T18:55:55Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola-copy
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args: ... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-pos | [
"pytorch",
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"token-classification",
"transformers",
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] | token-classification | {
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... | 3 | 2021-10-10T05:51:58Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola-copy2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
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dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa | [
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"transformers",
"autotrain_compatible"
] | question-answering | {
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... | 5 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola-copy3
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
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dccuchile/distilbert-base-spanish-uncased-finetuned-xnli | [
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"text-classification",
"transformers"
] | text-classification | {
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... | 31 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola-copy4
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
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args:... | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe-1 | [
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"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
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] | fill-mask | {
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"no_repea... | 7 | 2021-09-23T07:49:09Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args: cola
... | [
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CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate | [
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"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repea... | 7 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: fnet-large-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
met... | [
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Certified-Zoomer/DialoGPT-small-rick | [] | null | {
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"num_beams... | 0 | 2021-10-09T08:47:27Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
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model-index:
- name: fnet-large-finetuned-qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QQP
type: glue
args: qqp
metric... | [
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Chaddmckay/Cdm | [] | null | {
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"num_beams... | 0 | null | ---
language:
- en
license: apache-2.0
tags:
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datasets:
- glue
metrics:
- accuracy
model-index:
- name: fnet-large-finetuned-rte
results:
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name: Text Classification
type: text-classification
dataset:
name: GLUE RTE
type: glue
args: rte
metrics:
... | [
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Chae/botman | [
"pytorch",
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"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 5 | null | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: fnet-large-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
args: sst2
metrics:... | [
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Chaewon/mmnt_decoder_en | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 12 | 2021-10-07T16:55:55Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: fnet-large-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
args: stsb
metrics... | [
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Chaewon/mnmt_decoder_en | [
"pytorch",
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"text-generation",
"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 8 | 2021-09-23T05:28:41Z | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: fnet-large-finetuned-wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: glue
args: wnli
metrics:... | [
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chainyo/speaker-recognition-meetup | [] | null | {
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"num_beams... | 1 | 2021-03-26T16:44:09Z | ---
language: cnh
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2 Large 53 Hakha Chin by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
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ChaitanyaU/FineTuneLM | [] | null | {
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"num_beams... | 0 | 2021-03-27T16:56:10Z | ---
language: eo
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2 Large 53 Esperanto by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
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Chakita/Friends | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"no_repeat_ngram_size... | 8 | null | ---
language: gu
datasets:
- openslr
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 Gujarati by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
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Chakita/KNUBert | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"RobertaForMaskedLM"
],
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"no_repeat_ngra... | 20 | 2021-03-24T19:47:37Z | ---
language: hu
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2 Large 53 Hungarian by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
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Chakita/KROBERT | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"masked-lm",
"fill-in-the-blanks",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 7 | null | ---
language: ia
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 Interlingua by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recogn... | [
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Chakita/Kalbert | [
"pytorch",
"tensorboard",
"albert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_... | 5 | null | ---
language: it
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2 Large 53 Italian by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
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Chakita/KannadaBERT | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"masked-lm",
"fill-in-the-blanks",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
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"no_repeat_ngra... | 5 | 2021-03-25T20:55:44Z | ---
language: mr
datasets:
- interspeech_2021_asr
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 Marathi 2 by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-r... | [
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... |
Chakita/gpt2_mwp | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 6 | 2021-03-26T00:56:33Z | ---
language: mr
datasets:
- openslr
- interspeech_2021_asr
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 Marathi by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-... | [
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0.02... |
Chalponkey/DialoGPT-small-Barry | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
language: mr
datasets:
- openslr
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 Marathi by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
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Champion/test_upload_vox2_wavlm_epoch8 | [
"sidekit",
"audio"
] | null | {
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"num_beams... | 0 | null | ---
language: or
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 Odia by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
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0.03139... |
Chan/distilgpt2-finetuned-wikitext2 | [] | null | {
"architectures": null,
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"num_beams... | 0 | 2021-03-23T13:56:09Z | ---
language: pt
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2 Large 53 Portugese by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | [
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0... |
Chan/distilroberta-base-finetuned-wikitext2 | [] | null | {
"architectures": null,
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"num_beams... | 0 | 2021-03-27T14:23:51Z | ---
language: rm-sursilv
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2 Large 53 Romansh Sursilvan by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speec... | [
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Cheapestmedsshop/Buymodafinilus | [] | null | {
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"num_beams... | 0 | 2021-07-28T12:51:00Z | ---
language: el
---
# GreekSocialBERT
## Model description
A Greek language model based on [GreekBERT](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1)
## Training data
The training data is a corpus of 458,293 documents collected from Greek social media accounts.
The training corpus has been collected... | [
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0.014... |
Cheatham/xlm-roberta-base-finetuned | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
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},
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... | 20 | null | ---
language: el
---
# PaloBERT
## Model description
A Greek language model based on [RoBERTa](https://arxiv.org/abs/1907.11692)
## Training data
The training data is a corpus of 458,293 documents collected from Greek social media accounts. It also contains a GTP-2 tokenizer trained from scratch on the same corpus... | [
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Check/vaw2tmp | [
"tensorboard"
] | null | {
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"num_beams... | 0 | null | https://dl.fbaipublicfiles.com/avhubert/model/lrs3_vox/vsr/base_vox_433h.pt | [
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0.0... |
D3xter1922/electra-base-discriminator-finetuned-mnli | [] | null | {
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"num_beams... | 0 | null | A fake news detector using RoBERTa.
Dataset: https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset
Training involved using hyperparameter search with 10 trials. | [
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DJSammy/bert-base-danish-uncased_BotXO-ai | [
"pytorch",
"jax",
"da",
"dataset:common_crawl",
"dataset:wikipedia",
"transformers",
"bert",
"masked-lm",
"license:cc-by-4.0",
"fill-mask"
] | fill-mask | {
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"num_beams... | 14 | null | This repository belongs to TransportersBERT from ActTrans publication.
Taju, Semmy Wellem, Syed Muazzam Ali Shah, and Yu-Yen Ou. “ActTRANS: Functional Classification in Active Transport Proteins Based on Transfer Learning and Contextual Representations.” Computational Biology and Chemistry 93 (August 1, 2021): 107537.... | [
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0... |
DTAI-KULeuven/robbertje-1-gb-shuffled | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 7 | null | ---
language: bn
tags:
- text-generation
widget:
- text: তোমাকে দেখেছি আমার হৃদয় মাঝে
---
# Robi Kobi
### Created by [Ritobrata Ghosh](https://ghosh-r.github.io)
A model that writes Bengali poems in the style of Nobel Laureate poet Rabindranath Tagore.
This model is fine-tuned on 1,400+ poems written by Rabindranath... | [
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Daiki/scibert_scivocab_uncased-finetuned-cola | [] | null | {
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"num_beams... | 0 | null | ---
language:
- ro
license: apache-2.0
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
- gigant/romanian_speech_synthesis_0_8_1
model-index:
- name: wav2vec2-ro-300m_01
results:
- task:
name: Automatic Speech Recognition
typ... | [
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0.01... |
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