**How to use:**

```python
>>> from transformers import AutoTokenizer, AutoModelForMaskedLM
>>> tokenizer = AutoTokenizer.from_pretrained("mynoguti/BERTimbau_Legal")
>>> model = AutoModelForMaskedLM.from_pretrained("mynoguti/BERTimbau_Legal")
```
{"language": ["pt"], "license": "unknown", "tags": ["legal"]}
transformers pytorch bert fill-mask legal pt license:unknown autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #fill-mask #legal #pt #license-unknown #autotrain_compatible #endpoints_compatible #region-us 

How to use:


TAGS
#transformers #pytorch #bert #fill-mask #legal #pt #license-unknown #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #bert #fill-mask #legal #pt #license-unknown #autotrain_compatible #endpoints_compatible #region-us 
