MuRIL - Unofficial

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

About this upload

I ported the TFHub .pb model to .h5 and then pytorch_model.bin for compatibility with Transformers.

New: fine-tune this model in a few clicks by selecting AutoNLP in the "Train" menu!
Downloads last month
433
Hosted inference API
Fill-Mask
Mask token: [MASK]
This model can be loaded on the Inference API on-demand.