Multilingual Representations for Indian Languages : Google open sourced this BERT model pre-trained on 17 Indian languages, and their transliterated counterparts.
The model was trained using a self-supervised masked language modeling task. We do whole word masking with a maximum of 80 predictions. The model was trained for 1000K steps, with a batch size of 4096, and a max sequence length of 512.
Original model on TFHub: https://tfhub.dev/google/MuRIL/1
Official release now on HuggingFace (March 2021) https://huggingface.co/google/muril-base-cased
License: Apache 2.0
I ported the TFHub .pb model to .h5 and then pytorch_model.bin for compatibility with Transformers.
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