README.md

---
language: te
---
# telugu_bertu

## Model description

This model is a BERT MLM model trained on Telugu. Please use it from the terminal as the web interface has encoding issues.

PS: If you find my model useful, I would appreciate a note from you as it would encourage me to continue improving it and also add new models. And also, please cite my model if you are using it in your pipeline.

## Intended uses & limitations

#### How to use

```python
from transformers import AutoModelWithLMHead, AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("kuppuluri/telugu_bertu",
                                          clean_text=False,
                                          handle_chinese_chars=False,
                                          strip_accents=False,
                                          wordpieces_prefix='##')
model = AutoModelWithLMHead.from_pretrained("kuppuluri/telugu_bertu")
fill_mask = pipeline("fill-mask", model=model, tokenizer=tokenizer)
results = fill_mask("మక్దూంపల్లి పేరుతో చాలా [MASK] ఉన్నాయి.")
```