l3cube-pune / hindi-bert-v1

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Total runs: 45
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Model's Last Updated: December 25 2022
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Introduction of hindi-bert-v1

Model Details of hindi-bert-v1

HindBERT

HindBERT is a Hindi BERT model. It is a multilingual BERT (bert-base-multilingual-cased) model fine-tuned on publicly available Hindi monolingual datasets. [project link] ( https://github.com/l3cube-pune/MarathiNLP )

More details on the dataset, models, and baseline results can be found in our [ paper ]
A new version of model is shared here

Citing:

@article{joshi2022l3cubehind,
  title={L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages},
  author={Joshi, Raviraj},
  journal={arXiv preprint arXiv:2211.11418},
  year={2022}
}

Runs of l3cube-pune hindi-bert-v1 on huggingface.co

45
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0
24-hour runs
28
3-day runs
31
7-day runs
37
30-day runs

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hindi-bert-v1 install

hindi-bert-v1 is an open source model from GitHub that offers a free installation service, and any user can find hindi-bert-v1 on GitHub to install. At the same time, huggingface.co provides the effect of hindi-bert-v1 install, users can directly use hindi-bert-v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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