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README.md
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# bengali-t5-large
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**bengali-t5-large** is a model trained on the Bengali portion of MT5 dataset.
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[Flax/Jax Community Week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104), organized by [HuggingFace](https://huggingface.co/) and TPU usage sponsored by Google.
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The model is trained on around ~11B tokens (64 size batch, 512 tokens, 350k steps).
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# Proposal
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- [Project Proposal](https://discuss.huggingface.co/t/pretrain-t5-from-scratch-in-bengali/7121)
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# Participants
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- [Ibraheem Muhammad Moosa](https://huggingface.co/ibraheemmoosa)
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- [Tasnim Mohiuddin](https://huggingface.co/tasnim)
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- [M Saiful Bari](https://huggingface.co/sbmaruf)
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## Useful links
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- [Community Week timeline](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104#summary-timeline-calendar-6)
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- [Community Week README](https://github.com/huggingface/transformers/blob/master/examples/research_projects/jax-projects/README.md)
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- [Masked Language Modelling example scripts](https://github.com/huggingface/transformers/tree/master/examples/flax/language-modeling)
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- [Model Repository](https://huggingface.co/flax-community/roberta-base-als-demo)
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