| language: | |
| - en | |
| - hi | |
| - bn | |
| - ta | |
| - as | |
| - gu | |
| - kn | |
| - ks | |
| - ml | |
| - mr | |
| - ne | |
| - or | |
| - pa | |
| - sa | |
| - sd | |
| - te | |
| - ur | |
| - multilingual | |
| license: apache-2.0 | |
| ## 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. | |