---
language:
- "bo"
tags:
- "tibetan"
- "masked-lm"
base_model: Pagewood/Tibetan-BERT-wwm
license: "apache-2.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
---

# bert-base-tibetan

## Model Description

This is a BERT model pre-trained on Tibetan texts, derived from [Tibetan-BERT-wwm](https://huggingface.co/Pagewood/Tibetan-BERT-wwm) with the tokenizer refined for PyTorch. You can fine-tune `bert-base-tibetan` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/bert-base-tibetan-upos), dependency-parsing, and so on.

## How to Use

```py
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-tibetan")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/bert-base-tibetan")
```