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recommend larger models (#2)

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- recommend larger models (94c694a792865d8b99a2c7ec972a884e099b2248)


Co-authored-by: Nick Doiron <georeactor@users.noreply.huggingface.co>

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  1. README.md +3 -1
README.md CHANGED
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  This is a first attempt at a Hindi language model trained with Google Research's [ELECTRA](https://github.com/google-research/electra).
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- **Consider using this newer, larger model: https://huggingface.co/monsoon-nlp/hindi-tpu-electra**
 
 
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  <a href="https://colab.research.google.com/drive/1R8TciRSM7BONJRBc9CBZbzOmz39FTLl_">Tokenization and training CoLab</a>
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  This is a first attempt at a Hindi language model trained with Google Research's [ELECTRA](https://github.com/google-research/electra).
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+ **As of 2022 I recommend Google's MuRIL model trained on English, Hindi, and other major Indian languages, both in their script and latinized script**: https://huggingface.co/google/muril-base-cased and https://huggingface.co/google/muril-large-cased
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+ **For causal language models, I would suggest SberBank / mGPT, though this is a large model**
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  <a href="https://colab.research.google.com/drive/1R8TciRSM7BONJRBc9CBZbzOmz39FTLl_">Tokenization and training CoLab</a>
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