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# Wiki-VAE
A Transformer-VAE trained on all the sentences in wikipedia.
Training is done on AWS SageMaker.
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# Wiki-VAE
A Transformer-VAE trained on all the sentences in wikipedia.
Training is done on AWS SageMaker.
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text2text-generation | transformers |
<!-- 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-finetuned-billsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["billsum"], "metrics": ["rouge"], "model-index": [{"name": "t5-small-finetuned-billsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "billsum", "type": "billsum", "... | Frederick0291/t5-small-finetuned-billsum | null | [
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| t5-small-finetuned-billsum
==========================
This model is a fine-tuned version of t5-small on the billsum dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0972
* Rouge1: 16.6044
* Rouge2: 12.8656
* Rougel: 15.7876
* Rougelsum: 15.9784
* Gen Len: 18.9948
Model description
-----... | [
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text2text-generation | transformers |
<!-- 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-finetuned-xsum-finetuned-billsum
This model is a fine-tuned version of [Frederick0291/t5-small-finetuned-xsum](https://... | {"license": "apache-2.0", "tags": ["generated_from_trainer"]} | Frederick0291/t5-small-finetuned-xsum | null | [
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| t5-small-finetuned-xsum-finetuned-billsum
=========================================
This model is a fine-tuned version of Frederick0291/t5-small-finetuned-xsum on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
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https://elinsborgsskolan.stockholm.se/sites/default/files/webform/free-v-bucks-g1_zo-21.pdf
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automatic-speech-recognition | transformers |
# XLS-R-based CTC model with 5-gram language model from Open Subtitles
This model is a version of [facebook/wav2vec2-xls-r-2b-22-to-16](https://huggingface.co/facebook/wav2vec2-xls-r-2b-22-to-16) fine-tuned mainly on the [CGN dataset](https://taalmaterialen.ivdnt.org/download/tstc-corpus-gesproken-nederlands/), as we... | {"language": ["nl"], "tags": ["automatic-speech-recognition", "hf-asr-leaderboard", "model_for_talk", "mozilla-foundation/common_voice_8_0", "nl", "nl_BE", "nl_NL", "robust-speech-event"], "datasets": ["mozilla-foundation/common_voice_8_0"], "model-index": [{"name": "xls-r-nl-v1-cv8-lm", "results": [{"task": {"type": "... | FremyCompany/xls-r-2b-nl-v2_lm-5gram-os | null | [
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|
# XLS-R-based CTC model with 5-gram language model from Open Subtitles
This model is a version of facebook/wav2vec2-xls-r-2b-22-to-16 fine-tuned mainly on the CGN dataset, as well as the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - NL dataset (see details below), on which a large 5-gram language model is added based on the ... | [
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automatic-speech-recognition | transformers |
# XLS-R-based CTC model with 5-gram language model from Open Subtitles
This model is a version of [facebook/wav2vec2-xls-r-2b-22-to-16](https://huggingface.co/facebook/wav2vec2-xls-r-2b-22-to-16) fine-tuned mainly on the [CGN dataset](https://taalmaterialen.ivdnt.org/download/tstc-corpus-gesproken-nederlands/), as we... | {"language": ["nl"], "tags": ["automatic-speech-recognition", "hf-asr-leaderboard", "model_for_talk", "mozilla-foundation/common_voice_8_0", "nl", "nl_BE", "nl_NL", "robust-speech-event"], "datasets": ["mozilla-foundation/common_voice_8_0"], "model-index": [{"name": "xls-r-nl-v1-cv8-lm", "results": [{"task": {"type": "... | FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell | null | [
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automatic-speech-recognition | transformers |
# XLS-R-based CTC model with 5-gram language model from Common Voice
This model is a version of [facebook/wav2vec2-xls-r-2b-22-to-16](https://huggingface.co/facebook/wav2vec2-xls-r-2b-22-to-16) fine-tuned mainly on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - NL dataset (see details below), on which a small 5-gram langu... | {"language": ["nl"], "tags": ["automatic-speech-recognition", "hf-asr-leaderboard", "model_for_talk", "mozilla-foundation/common_voice_8_0", "nl", "robust-speech-event", "vl"], "datasets": ["mozilla-foundation/common_voice_8_0", "multilingual_librispeech"], "model-index": [{"name": "xls-r-nl-v1-cv8-lm", "results": [{"t... | FremyCompany/xls-r-nl-v1-cv8-lm | null | [
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image-classification | transformers |
# bee-likes
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpic... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | Frodnar/bee-likes | null | [
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|
# bee-likes
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
## Example Images
#### bee
!bee
#### hoverfly
!hoverfly
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text-generation | transformers |
# Rick DialoGPT Model | {"tags": ["conversational"]} | Fu10k/DialoGPT-medium-Rick | null | [
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text-classification | transformers | # 🔥 Augmented Code Model 🔥
This is Augmented Code Model which is a fined-tune model of [CodeBERT](https://huggingface.co/microsoft/codebert-base) for processing of similarity between given docstring and code. This model is fined-model based on Augmented Code Corpus with ACS=4.
## How to use the model ?
Similar to ... | {"language": ["en"], "license": "mit", "datasets": ["augmented_codesearchnet"], "metrics": ["mrr"], "inference": false} | Fujitsu/AugCode | null | [
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| # Augmented Code Model
This is Augmented Code Model which is a fined-tune model of CodeBERT for processing of similarity between given docstring and code. This model is fined-model based on Augmented Code Corpus with ACS=4.
## How to use the model ?
Similar to other huggingface model, you may load the model as fol... | [
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feature-extraction | transformers |
# 🔥 RoBERTa-MLM-based PyTorrent 1M 🔥
Pretrained weights based on [PyTorrent Dataset](https://github.com/fla-sil/PyTorrent) which is a curated data from a large official Python packages.
We use PyTorrent dataset to train a preliminary DistilBERT-Masked Language Modeling(MLM) model from scratch. The trained model, al... | {"language": ["en"], "license": "mit", "datasets": ["pytorrent"]} | Fujitsu/pytorrent | null | [
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|
# RoBERTa-MLM-based PyTorrent 1M
Pretrained weights based on PyTorrent Dataset which is a curated data from a large official Python packages.
We use PyTorrent dataset to train a preliminary DistilBERT-Masked Language Modeling(MLM) model from scratch. The trained model, along with the dataset, aims to help researche... | [
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question-answering | transformers | # MarkupLM Large fine-tuned on WebSRC to allow Question Answering.
This model is adapted from Microsoft's MarkupLM. This fine-tuned model is the result of partially following instructions in the MarkupLM git repo (with adjustments described farther below under the Fine-tuning args section.) This version not endorsed b... | {} | FuriouslyAsleep/markuplm-large-finetuned-qa | null | [
"transformers",
"pytorch",
"markuplm",
"question-answering",
"arxiv:2110.08518",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [
"2110.08518"
] | [] | TAGS
#transformers #pytorch #markuplm #question-answering #arxiv-2110.08518 #endpoints_compatible #has_space #region-us
| # MarkupLM Large fine-tuned on WebSRC to allow Question Answering.
This model is adapted from Microsoft's MarkupLM. This fine-tuned model is the result of partially following instructions in the MarkupLM git repo (with adjustments described farther below under the Fine-tuning args section.) This version not endorsed b... | [
"# MarkupLM Large fine-tuned on WebSRC to allow Question Answering.\n\nThis model is adapted from Microsoft's MarkupLM. This fine-tuned model is the result of partially following instructions in the MarkupLM git repo (with adjustments described farther below under the Fine-tuning args section.) This version not end... | [
"TAGS\n#transformers #pytorch #markuplm #question-answering #arxiv-2110.08518 #endpoints_compatible #has_space #region-us \n",
"# MarkupLM Large fine-tuned on WebSRC to allow Question Answering.\n\nThis model is adapted from Microsoft's MarkupLM. This fine-tuned model is the result of partially following instruct... | [
40,
187,
237,
2115
] | [
"TAGS\n#transformers #pytorch #markuplm #question-answering #arxiv-2110.08518 #endpoints_compatible #has_space #region-us \n# MarkupLM Large fine-tuned on WebSRC to allow Question Answering.\n\nThis model is adapted from Microsoft's MarkupLM. This fine-tuned model is the result of partially following instructions i... |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Khmer
If you use our model, please consider citing our paper:
```
@article{,
author="Jiang, Shengyi
and Fu, Sihui
and Lin, Nankai
and Fu, Yingwen",
title="Pre-trained Models and Evaluation Data for the Khmer Language",
year="2021",
publisher="Tsinghua Science and Technol... | {} | GKLMIP/bert-khmer-base-uncased-tokenized | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Khmer
If you use our model, please consider citing our paper:
```
@article{,
author="Jiang, Shengyi
and Fu, Sihui
and Lin, Nankai
and Fu, Yingwen",
title="Pre-trained Models and Evaluation Data for the Khmer Language",
year="2021",
publisher="Tsinghua Science and Technol... | {} | GKLMIP/bert-khmer-base-uncased | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Khmer
If you use our model, please consider citing our paper:
```
@article{,
author="Jiang, Shengyi
and Fu, Sihui
and Lin, Nankai
and Fu, Yingwen",
title="Pre-trained Models and Evaluation Data for the Khmer Language",
year="2021",
publisher="Tsinghua Science and Technol... | {} | GKLMIP/bert-khmer-small-uncased-tokenized | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Khmer
If you use our model, please consider citing our paper:
```
@article{,
author="Jiang, Shengyi
and Fu, Sihui
and Lin, Nankai
and Fu, Yingwen",
title="Pre-trained Models and Evaluation Data for the Khmer Language",
year="2021",
publisher="Tsinghua Science and Technol... | {} | GKLMIP/bert-khmer-small-uncased | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | The Usage of tokenizer for Lao is in https://github.com/GKLMIP/Pretrained-Models-For-Laos. | {} | GKLMIP/bert-laos-base-uncased | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| The Usage of tokenizer for Lao is in URL | [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | The Usage of tokenizer for Lao is in https://github.com/GKLMIP/Pretrained-Models-For-Laos.
| {} | GKLMIP/bert-laos-small-uncased | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| The Usage of tokenizer for Lao is in URL
| [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | The Usage of tokenizer for Myanmar is same as Laos in https://github.com/GKLMIP/Pretrained-Models-For-Laos.
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Huang, Xiuwen
and Cai, Xiaonan
and Lin, Nankai",
title="Pre-trained Models and Evaluation Data for the Myan... | {} | GKLMIP/bert-myanmar-base-uncased | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| The Usage of tokenizer for Myanmar is same as Laos in URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | The Usage of tokenizer for Myanmar is same as Laos in https://github.com/GKLMIP/Pretrained-Models-For-Laos.
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Huang, Xiuwen
and Cai, Xiaonan
and Lin, Nankai",
title="Pre-trained Models and Evaluation Data for the Myan... | {} | GKLMIP/bert-myanmar-small-uncased | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| The Usage of tokenizer for Myanmar is same as Laos in URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Tagalog
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Fu, Yingwen
and Lin, Xiaotian
and Lin, Nankai",
title="Pre-trained Language models for Tagalog with Multi-source data",
booktitle="Natural Language Processing ... | {} | GKLMIP/bert-tagalog-base-uncased | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Khmer
If you use our model, please consider citing our paper:
```
@article{,
author="Jiang, Shengyi
and Fu, Sihui
and Lin, Nankai
and Fu, Yingwen",
title="Pre-trained Models and Evaluation Data for the Khmer Language",
year="2021",
publisher="Tsinghua Science and Technol... | {} | GKLMIP/electra-khmer-base-uncased-tokenized | null | [
"transformers",
"pytorch",
"electra",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
29
] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Khmer
If you use our model, please consider citing our paper:
```
@article{,
author="Jiang, Shengyi
and Fu, Sihui
and Lin, Nankai
and Fu, Yingwen",
title="Pre-trained Models and Evaluation Data for the Khmer Language",
year="2021",
publisher="Tsinghua Science and Technol... | {} | GKLMIP/electra-khmer-base-uncased | null | [
"transformers",
"pytorch",
"electra",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
29
] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Khmer
If you use our model, please consider citing our paper:
```
@article{,
author="Jiang, Shengyi
and Fu, Sihui
and Lin, Nankai
and Fu, Yingwen",
title="Pre-trained Models and Evaluation Data for the Khmer Language",
year="2021",
publisher="Tsinghua Science and Technol... | {} | GKLMIP/electra-khmer-small-uncased | null | [
"transformers",
"pytorch",
"electra",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
29
] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
null | transformers | The Usage of tokenizer for Lao is in https://github.com/GKLMIP/Pretrained-Models-For-Laos.
| {} | GKLMIP/electra-laos-base-uncased | null | [
"transformers",
"pytorch",
"electra",
"pretraining",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us
| The Usage of tokenizer for Lao is in URL
| [] | [
"TAGS\n#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us \n"
] | [
24
] | [
"TAGS\n#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us \n"
] |
null | transformers | The Usage of tokenizer for Lao is in https://github.com/GKLMIP/Pretrained-Models-For-Laos. | {} | GKLMIP/electra-laos-small-uncased | null | [
"transformers",
"pytorch",
"electra",
"pretraining",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us
| The Usage of tokenizer for Lao is in URL | [] | [
"TAGS\n#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us \n"
] | [
24
] | [
"TAGS\n#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | The Usage of tokenizer for Myanmar is same as Laos in https://github.com/GKLMIP/Pretrained-Models-For-Laos.
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Huang, Xiuwen
and Cai, Xiaonan
and Lin, Nankai",
title="Pre-trained Models and Evaluation Data for the Myan... | {} | GKLMIP/electra-myanmar-base-uncased | null | [
"transformers",
"pytorch",
"electra",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| The Usage of tokenizer for Myanmar is same as Laos in URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
29
] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
null | transformers | The Usage of tokenizer for Myanmar is same as Laos in https://github.com/GKLMIP/Pretrained-Models-For-Laos.
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Huang, Xiuwen
and Cai, Xiaonan
and Lin, Nankai",
title="Pre-trained Models and Evaluation Data for the Myan... | {} | GKLMIP/electra-myanmar-small-uncased | null | [
"transformers",
"pytorch",
"electra",
"pretraining",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us
| The Usage of tokenizer for Myanmar is same as Laos in URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us \n"
] | [
24
] | [
"TAGS\n#transformers #pytorch #electra #pretraining #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Tagalog
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Fu, Yingwen
and Lin, Xiaotian
and Lin, Nankai",
title="Pre-trained Language models for Tagalog with Multi-source data",
booktitle="Natural Language Processing ... | {} | GKLMIP/electra-tagalog-base-uncased | null | [
"transformers",
"pytorch",
"electra",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
29
] | [
"TAGS\n#transformers #pytorch #electra #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Huang, Xixuan
and Lin, Nankai
and Li, Kexin
and Wang, Lianxi
and Gan SuiFu",
title="HinPLMs: Pre-trained Language Models for Hindi",
booktitle="The International Conference on Asian Language Processing",
year="2021",
publisher="IEEE Xp... | {} | GKLMIP/roberta-hindi-romanized | null | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Huang, Xixuan
and Lin, Nankai
and Li, Kexin
and Wang, Lianxi
and Gan SuiFu",
title="HinPLMs: Pre-trained Language Models for Hindi",
booktitle="The International Conference on Asian Language Processing",
year="2021",
publisher="IEEE Xp... | {} | GKLMIP/roberta-hindi-devanagari | null | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
fill-mask | transformers | https://github.com/GKLMIP/Pretrained-Models-For-Tagalog
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Fu, Yingwen
and Lin, Xiaotian
and Lin, Nankai",
title="Pre-trained Language models for Tagalog with Multi-source data",
booktitle="Natural Language Processing ... | {} | GKLMIP/roberta-tagalog-base | null | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us
| URL
If you use our model, please consider citing our paper:
| [] | [
"TAGS\n#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
28
] | [
"TAGS\n#transformers #pytorch #roberta #fill-mask #autotrain_compatible #endpoints_compatible #region-us \n"
] |
null | null | Naming pattern:
1. `GPL/${dataset}-msmarco-distilbert-gpl`: Model with training order of (1) MarginMSE on MSMARCO -> (2) GPL on ${dataset};
2. `GPL/${dataset}-tsdae-msmarco-distilbert-gpl`: Model with training order of (1) TSDAE on ${dataset} -> (2) MarginMSE on MSMARCO -> (3) GPL on ${dataset};
3. `GPL/msmarco-distil... | {} | GPL/README | null | [
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#region-us
| Naming pattern:
1. 'GPL/${dataset}-msmarco-distilbert-gpl': Model with training order of (1) MarginMSE on MSMARCO -> (2) GPL on ${dataset};
2. 'GPL/${dataset}-tsdae-msmarco-distilbert-gpl': Model with training order of (1) TSDAE on ${dataset} -> (2) MarginMSE on MSMARCO -> (3) GPL on ${dataset};
3. 'GPL/msmarco-distil... | [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/bioasq-1m-msmarco-distilbert-gpl | null | [
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"distilbert",
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"endpoints_compatible",
"region:us"
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/bioasq-1m-tsdae-msmarco-distilbert-gpl | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/cqadupstack-msmarco-distilbert-gpl | null | [
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"distilbert",
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#sentence-transformers #pytorch #distilbert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/cqadupstack-tsdae-msmarco-distilbert-gpl | null | [
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"distilbert",
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#sentence-transformers #pytorch #distilbert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
"# {MODEL_NAME}\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/fiqa-msmarco-distilbert-gpl | null | [
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"feature-extraction",
"sentence-similarity",
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"endpoints_compatible",
"region:us"
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#sentence-transformers #pytorch #distilbert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/fiqa-tsdae-msmarco-distilbert-gpl | null | [
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"pytorch",
"distilbert",
"feature-extraction",
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"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#sentence-transformers #pytorch #distilbert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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feature-extraction | transformers | This is the zero-shot baseline model in the paper ["GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval"](https://arxiv.org/abs/2112.07577)
The training setup:
1. Start from `distilbert-base-uncased`;
2. Mine 50 hard negatives for each query on MS MARCO with `sentence-transformers/msm... | {} | GPL/msmarco-distilbert-margin-mse | null | [
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"distilbert",
"feature-extraction",
"arxiv:2112.07577",
"endpoints_compatible",
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"2112.07577"
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#transformers #pytorch #distilbert #feature-extraction #arxiv-2112.07577 #endpoints_compatible #region-us
| This is the zero-shot baseline model in the paper "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval"
The training setup:
1. Start from 'distilbert-base-uncased';
2. Mine 50 hard negatives for each query on MS MARCO with 'sentence-transformers/msmarco-distilbert-base-v3' and 'senten... | [] | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/robust04-msmarco-distilbert-gpl | null | [
"sentence-transformers",
"pytorch",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#sentence-transformers #pytorch #distilbert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/robust04-tsdae-msmarco-distilbert-gpl | null | [
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#sentence-transformers #pytorch #distilbert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/scifact-msmarco-distilbert-gpl | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GPL/trec-covid-v2-msmarco-distilbert-gpl | null | [
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# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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text-generation | transformers | # Pinkie Pie Chatbot
used from r3dhummingbird! | {"license": "mit", "tags": ["conversational"]} | GabbyDaBUNBUN/DialoGPT-medium-PinkiePie | null | [
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text-generation | transformers |
# Harry Potter DialoGPT Model | {"tags": ["conversational"]} | Galaxy/DialoGPT-small-hermoine | null | [
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text-generation | transformers |
# Indonesian GPT-2 finetuned on Indonesian academic journals
This is the [Indonesian gpt2-small model](https://huggingface.co/flax-community/gpt2-small-indonesian) fine-tuned to abstracts of Indonesian academic journals. All training was done on a TPUv2-8 VM sponsored by [TPU Research Cloud](https://sites.research.goo... | {"language": "id", "widget": [{"text": "Penelitian ini bertujuan untuk menentukan identitas invertebrata laut dari Perairan Papua dengan teknik DNA barcoding"}]} | Galuh/id-journal-gpt2 | null | [
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| Indonesian GPT-2 finetuned on Indonesian academic journals
==========================================================
This is the Indonesian gpt2-small model fine-tuned to abstracts of Indonesian academic journals. All training was done on a TPUv2-8 VM sponsored by TPU Research Cloud.
The demo can be found here.
... | [
"### Evaluation results\n\n\nThe model achieves the following results without any fine-tuning (zero-shot):",
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automatic-speech-recognition | transformers |
# Wav2Vec2-Large-XLSR-Indonesian
This is the model for Wav2Vec2-Large-XLSR-Indonesian, a fine-tuned
[facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53)
model on the [Indonesian Common Voice dataset](https://huggingface.co/datasets/common_voice).
When using this model, make sure ... | {"language": "id", "license": "apache-2.0", "tags": ["audio", "automatic-speech-recognition", "speech", "xlsr-fine-tuning-week"], "datasets": ["common_voice"], "metrics": ["wer"], "model-index": [{"name": "XLSR Wav2Vec2 Indonesian by Galuh", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Speech ... | Galuh/wav2vec2-large-xlsr-indonesian | null | [
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"license:apache-2.0",
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|
# Wav2Vec2-Large-XLSR-Indonesian
This is the model for Wav2Vec2-Large-XLSR-Indonesian, a fine-tuned
facebook/wav2vec2-large-xlsr-53
model on the Indonesian Common Voice dataset.
When using this model, make sure that your speech input is sampled at 16kHz.
## Usage
The model can be used directly (without a language m... | [
"# Wav2Vec2-Large-XLSR-Indonesian\n\nThis is the model for Wav2Vec2-Large-XLSR-Indonesian, a fine-tuned \nfacebook/wav2vec2-large-xlsr-53\nmodel on the Indonesian Common Voice dataset.\nWhen using this model, make sure that your speech input is sampled at 16kHz.",
"## Usage\nThe model can be used directly (withou... | [
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text-generation | transformers |
# Gamer Bot DialoGPT Model | {"tags": ["conversational"]} | GamerMan02/DialoGPT-medium-gamerbot | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
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text-generation | transformers | This be a test | {} | GammaPTest/e_bot | null | [
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feature-extraction | transformers | CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
English Version. Old name. This model is not UMLSBert!!!
Github Link: https://github.com/GanjinZero/CODER
```
@article{YUAN2022103983,
title = {CODER: Knowledge-infused cross-lingual medical term embedding for term normalization},
j... | {"language": ["en"], "license": "apache-2.0", "tags": ["bert", "biomedical"]} | GanjinZero/UMLSBert_ENG | null | [
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| CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
English Version. Old name. This model is not UMLSBert!!!
Github Link: URL
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feature-extraction | transformers | CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
Multi lingual Version.
Github Link: https://github.com/GanjinZero/CODER
```
@article{YUAN2022103983,
title = {CODER: Knowledge-infused cross-lingual medical term embedding for term normalization},
journal = {Journal of Biomedical I... | {"language": ["en"], "license": "apache-2.0", "tags": ["bert", "biomedical"]} | GanjinZero/coder_all | null | [
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| CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
Multi lingual Version.
Github Link: URL
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feature-extraction | transformers | CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
English Version.
Github Link: https://github.com/GanjinZero/CODER
```
@article{YUAN2022103983,
title = {CODER: Knowledge-infused cross-lingual medical term embedding for term normalization},
journal = {Journal of Biomedical Informat... | {"language": ["en"], "license": "apache-2.0", "tags": ["bert", "biomedical"]} | GanjinZero/coder_eng | null | [
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| CODER: Knowledge infused cross-lingual medical term embedding for term normalization.
English Version.
Github Link: URL
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] |
feature-extraction | transformers | Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations.
CODER++
Github Link: https://github.com/GanjinZero/CODER
```
@misc{https://doi.org/10.48550/arxiv.2204.00391,
doi = {10.48550/ARXIV.2204.00391},
url = {https://arxiv.org/abs/2204.00391},
author = {Zeng, Sihang and Yuan, Zheng a... | {"language": ["en"], "license": "apache-2.0", "tags": ["bert", "biomedical"]} | GanjinZero/coder_eng_pp | null | [
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| Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations.
CODER++
Github Link: URL
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text-generation | transformers |
# Zhongli DialoGPT Model | {"tags": ["conversational"]} | Gappy/DialoGPT-small-Zhongli | null | [
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null | null |
# CRDNN with CTC/Attention and RNNLM trained on LibriSpeech
This repository provides all the necessary tools to perform automatic speech
recognition from an end-to-end system pretrained on LibriSpeech (EN) within
SpeechBrain. For a better experience we encourage you to learn more about
[SpeechBrain](https://speechbra... | {"language": "en", "license": "apache-2.0", "tags": ["ASR", "CTC", "Attention", "pytorch"], "datasets": ["librispeech"], "metrics": ["wer", "cer"]} | Gastron/asr-crdnn-librispeech | null | [
"ASR",
"CTC",
"Attention",
"pytorch",
"en",
"dataset:librispeech",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"en"
] | TAGS
#ASR #CTC #Attention #pytorch #en #dataset-librispeech #license-apache-2.0 #region-us
| CRDNN with CTC/Attention and RNNLM trained on LibriSpeech
=========================================================
This repository provides all the necessary tools to perform automatic speech
recognition from an end-to-end system pretrained on LibriSpeech (EN) within
SpeechBrain. For a better experience we encourage... | [
"### Transcribing your own audio files",
"### Obtaining encoded features\n\n\nThe SpeechBrain EncoderDecoderASR() class also provides an easy way to encode\nthe speech signal without running the decoding phase by calling\n''EncoderDecoderASR.encode\\_batch()''",
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automatic-speech-recognition | speechbrain |
# CRDNN with Attention trained on LP
This is a an initial model, partly wrong configuration, just to show an initial example.
| {"language": "fi", "tags": ["automatic-speech-recognition", "Attention", "pytorch", "speechbrain"], "metrics": ["wer", "cer"]} | Gastron/lp-initial-aed-short | null | [
"speechbrain",
"automatic-speech-recognition",
"Attention",
"pytorch",
"fi",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"fi"
] | TAGS
#speechbrain #automatic-speech-recognition #Attention #pytorch #fi #region-us
|
# CRDNN with Attention trained on LP
This is a an initial model, partly wrong configuration, just to show an initial example.
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text-generation | transformers |
# Guy DialoGPT Model | {"tags": ["conversational"]} | Geezy/DialoGPT-small-guy | null | [
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"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
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text-generation | transformers | #Harry Potter DialoGPT Model | {"tags": ["conversational"]} | GenDelport/DialoGPT-small-harrypotter | null | [
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"endpoints_compatible",
"text-generation-inference",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
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| #Harry Potter DialoGPT Model | [] | [
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fill-mask | transformers |
<!-- 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-dutch-cased-finetuned-gem
This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/... | {"language": ["nl"], "tags": ["generated_from_trainer"], "model_index": [{"name": "bert-base-dutch-cased-finetuned-gem", "results": [{"task": {"name": "Masked Language Modeling", "type": "fill-mask"}}]}]} | GeniusVoice/bert-base-dutch-cased-finetuned-gem | null | [
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| bert-base-dutch-cased-finetuned-gem
===================================
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on an unkown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8767
Model description
-----------------
More information needed
Intended uses & l... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | GeniusVoice/gv-semanticsearch-dutch-cased | null | [
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"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#sentence-transformers #pytorch #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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null | null |
# Glove Twitter
Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.
Read more:
* https://nlp.stanford.edu/projects/glove/
* https://nlp.stanford.edu/pubs/glove.pdf
## Example Usage
```python
import gensim.downloader as api
model = api.load("glove-twitter-25", from_hf=True)
model.most_si... | {"license": "pddl", "tags": ["glove", "gensim"]} | Gensim/glove-twitter-25 | null | [
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"gensim",
"license:pddl",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#glove #gensim #license-pddl #has_space #region-us
|
# Glove Twitter
Pre-trained glove vectors based on 2B tweets, 27B tokens, 1.2M vocab, uncased.
Read more:
* URL
* URL
## Example Usage
| [
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"## Example Usage"
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"## Example Usage"
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] |
fill-mask | transformers |
# bert-base-10lang-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly t... | {"language": ["multilingual", "en", "fr", "es", "de", "zh", "ar", "ru", "pt", "it", "ur"], "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}, {"text": "P... | Geotrend/bert-base-10lang-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"en",
"fr",
"es",
"de",
"zh",
"ar",
"ru",
"pt",
"it",
"ur",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual",
"en",
"fr",
"es",
"de",
"zh",
"ar",
"ru",
"pt",
"it",
"ur"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #en #fr #es #de #zh #ar #ru #pt #it #ur #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-10lang-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
This model handles th... | [
"# bert-base-10lang-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nThis model ... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #en #fr #es #de #zh #ar #ru #pt #it #ur #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-10lang-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle ... | [
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #en #fr #es #de #zh #ar #ru #pt #it #ur #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-10lang-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a cust... |
fill-mask | transformers |
# bert-base-15lang-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly t... | {"language": ["multilingual", "en", "fr", "es", "de", "zh", "ar", "ru", "vi", "el", "bg", "th", "tr", "hi", "ur", "sw"], "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest ... | Geotrend/bert-base-15lang-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"en",
"fr",
"es",
"de",
"zh",
"ar",
"ru",
"vi",
"el",
"bg",
"th",
"tr",
"hi",
"ur",
"sw",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_comp... | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual",
"en",
"fr",
"es",
"de",
"zh",
"ar",
"ru",
"vi",
"el",
"bg",
"th",
"tr",
"hi",
"ur",
"sw"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #en #fr #es #de #zh #ar #ru #vi #el #bg #th #tr #hi #ur #sw #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-base-15lang-cased
======================
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
... | [
"### How to cite\n\n\nContact\n-------\n\n\nPlease contact amine@URL for any question, feedback or request."
] | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #en #fr #es #de #zh #ar #ru #vi #el #bg #th #tr #hi #ur #sw #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### How to cite\n\n\nContact\n-------\n\n\nPlease contact amine@URL for... | [
86,
29
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"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #en #fr #es #de #zh #ar #ru #vi #el #bg #th #tr #hi #ur #sw #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### How to cite\n\n\nContact\n-------\n\n\nPlease contact amine@URL for any q... |
fill-mask | transformers |
# bert-base-25lang-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly t... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}, {"text": "Paris est la [MASK] de la France."}, {"text": "Paris est la cap... | Geotrend/bert-base-25lang-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-25lang-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
Handled languages: en... | [
"# bert-base-25lang-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nHandled lan... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-25lang-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike ... | [
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-25lang-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distil... |
fill-mask | transformers |
# bert-base-ar-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the s... | {"language": "ar", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "\u062a\u0642\u0639 \u0633\u0648\u064a\u0633\u0631\u0627 \u0641\u064a [MASK] \u0623\u0648\u0631\u0648\u0628\u0627"}, {"text": "\u0625\u0633\u0645\u064a \u0645\u062d\u0645\u062f \u0648\u0623\u0633\u0643\u0646 \u0641\u064a [MASK]."}]... | Geotrend/bert-base-ar-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"ar",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"ar"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #ar #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-ar-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information ple... | [
"# bert-base-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor more info... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #ar #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
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"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #ar #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-bg-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the s... | {"language": "bg", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-bg-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"bg",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"bg"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #bg #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-bg-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information plea... | [
"# bert-base-bg-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inform... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #bg #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-bg-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
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"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #bg #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-bg-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-da-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the s... | {"language": "da", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-da-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"da",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"da"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #da #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-da-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information ple... | [
"# bert-base-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor more info... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #da #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-bas... | [
48,
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #da #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-mult... |
fill-mask | transformers |
# bert-base-de-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the s... | {"language": "de", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-de-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"de",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"de"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #de #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-de-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information plea... | [
"# bert-base-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inform... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #de #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
52,
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6,
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"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #de #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-el-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the s... | {"language": "el", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-el-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"el",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"el"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #el #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-el-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information plea... | [
"# bert-base-el-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inform... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #el #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-el-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-bas... | [
48,
86,
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6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #el #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-el-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-mult... |
fill-mask | transformers |
# bert-base-en-ar-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}, {"text": "\u062a\u0642\u0639 \u0633\u0648\u064a\u0633\u0631\u0627 \u0641\... | Geotrend/bert-base-en-ar-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-ar-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information p... | [
"# bert-base-en-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inf... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages... | [
54,
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"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nU... |
fill-mask | transformers |
# bert-base-en-bg-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}]} | Geotrend/bert-base-en-bg-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-bg-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information p... | [
"# bert-base-en-bg-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inf... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-bg-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-bg-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-en-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the s... | {"language": "en", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}]} | Geotrend/bert-base-en-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"en",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #en #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information plea... | [
"# bert-base-en-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inform... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #en #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-bas... | [
48,
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #en #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-mult... |
fill-mask | transformers |
# bert-base-en-da-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-da-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-da-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information ... | [
"# bert-base-en-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor more i... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
50,
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6,
18
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-en-de-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}]} | Geotrend/bert-base-en-de-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-de-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information p... | [
"# bert-base-en-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inf... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages... | [
54,
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"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nU... |
fill-mask | transformers |
# bert-base-en-el-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}]} | Geotrend/bert-base-en-el-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-el-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information p... | [
"# bert-base-en-el-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inf... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-el-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
50,
88,
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6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-el-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-en-el-ru-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-el-ru-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-el-ru-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-el-ru-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-el-ru-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... | [
50,
90,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-el-ru-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike dist... |
fill-mask | transformers |
# bert-base-en-es-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}]} | Geotrend/bert-base-en-es-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-es-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information p... | [
"# bert-base-en-es-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inf... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-es-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages... | [
54,
88,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-es-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nU... |
fill-mask | transformers |
# bert-base-en-es-it-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-es-it-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-es-it-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-es-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-es-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... | [
50,
90,
24,
6,
18
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-es-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike dist... |
fill-mask | transformers |
# bert-base-en-es-pt-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-es-pt-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-es-pt-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-es-pt-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-es-pt-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of langua... | [
54,
90,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-es-pt-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n... |
fill-mask | transformers |
# bert-base-en-es-zh-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-es-zh-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-es-zh-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-es-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-es-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of langua... | [
54,
91,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-es-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n... |
fill-mask | transformers |
# bert-base-en-fr-ar-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-ar-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-ar-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-fr-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of langua... | [
54,
90,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n... |
fill-mask | transformers |
# bert-base-en-fr-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}, {"text": "Paris est la [MASK] de la France."}, {"text": "Paris est la cap... | Geotrend/bert-base-en-fr-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information p... | [
"# bert-base-en-fr-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inf... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages... | [
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"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nU... |
fill-mask | transformers |
# bert-base-en-fr-da-ja-vi-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-da-ja-vi-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-da-ja-vi-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more inf... | [
"# bert-base-en-fr-da-ja-vi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nF... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-da-ja-vi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\... | [
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-da-ja-vi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... |
fill-mask | transformers |
# bert-base-en-fr-de-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-de-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-de-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-fr-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of langua... | [
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"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-de-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n... |
fill-mask | transformers |
# bert-base-en-fr-de-no-da-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-de-no-da-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-de-no-da-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more inf... | [
"# bert-base-en-fr-de-no-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nF... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-de-no-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\... | [
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-de-no-da-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... |
fill-mask | transformers |
# bert-base-en-fr-es-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-es-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-es-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-fr-es-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-es-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... | [
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-es-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike dist... |
fill-mask | transformers |
# bert-base-en-fr-es-de-zh-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-es-de-zh-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-es-de-zh-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more inf... | [
"# bert-base-en-fr-es-de-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nF... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-es-de-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\... | [
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-es-de-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... |
fill-mask | transformers |
# bert-base-en-fr-es-pt-it-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-es-pt-it-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-es-pt-it-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more inf... | [
"# bert-base-en-fr-es-pt-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nF... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-es-pt-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\... | [
50,
94,
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"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-es-pt-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... |
fill-mask | transformers |
# bert-base-en-fr-it-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-it-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-it-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-fr-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... | [
50,
90,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike dist... |
fill-mask | transformers |
# bert-base-en-fr-lt-no-pl-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-lt-no-pl-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-lt-no-pl-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more inf... | [
"# bert-base-en-fr-lt-no-pl-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nF... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-lt-no-pl-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\... | [
50,
94,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-lt-no-pl-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... |
fill-mask | transformers |
# bert-base-en-fr-nl-ru-ar-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-nl-ru-ar-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-nl-ru-ar-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more inf... | [
"# bert-base-en-fr-nl-ru-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nF... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-nl-ru-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\... | [
50,
94,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-nl-ru-ar-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... |
fill-mask | transformers |
# bert-base-en-fr-uk-el-ro-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-uk-el-ro-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-uk-el-ro-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more inf... | [
"# bert-base-en-fr-uk-el-ro-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nF... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-uk-el-ro-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\... | [
50,
94,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-uk-el-ro-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... |
fill-mask | transformers |
# bert-base-en-fr-zh-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-zh-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-zh-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more informati... | [
"# bert-base-en-fr-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor mor... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... | [
50,
91,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-zh-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike dist... |
fill-mask | transformers |
# bert-base-en-fr-zh-ja-vi-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give e... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-fr-zh-ja-vi-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-fr-zh-ja-vi-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more inf... | [
"# bert-base-en-fr-zh-ja-vi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nF... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-fr-zh-ja-vi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\... | [
50,
95,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-fr-zh-ja-vi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlik... |
fill-mask | transformers |
# bert-base-en-hi-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia", "widget": [{"text": "Google generated 46 billion [MASK] in revenue."}, {"text": "Paris is the capital of [MASK]."}, {"text": "Algiers is the largest city in [MASK]."}]} | Geotrend/bert-base-en-hi-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-hi-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information p... | [
"# bert-base-en-hi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\nFor more inf... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-hi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
50,
88,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-hi-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-en-it-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-it-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-it-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information ... | [
"# bert-base-en-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor more i... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
50,
88,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-it-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-en-ja-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-ja-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-ja-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information ... | [
"# bert-base-en-ja-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor more i... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-ja-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
50,
88,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-ja-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-en-lt-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-lt-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-lt-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information ... | [
"# bert-base-en-lt-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor more i... | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-lt-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike d... | [
50,
88,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-lt-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilb... |
fill-mask | transformers |
# bert-base-en-nl-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly th... | {"language": "multilingual", "license": "apache-2.0", "datasets": "wikipedia"} | Geotrend/bert-base-en-nl-cased | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"multilingual"
] | TAGS
#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-en-nl-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information ... | [
"# bert-base-en-nl-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nUnlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.\n\n\nFor more i... | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert-base-en-nl-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages... | [
54,
88,
24,
6,
18
] | [
"TAGS\n#transformers #pytorch #tf #jax #safetensors #bert #fill-mask #multilingual #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# bert-base-en-nl-cased\n\nWe are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.\n\nU... |
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