Instructions to use josu/roberta-pt-br with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use josu/roberta-pt-br with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="josu/roberta-pt-br")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("josu/roberta-pt-br") model = AutoModelForMaskedLM.from_pretrained("josu/roberta-pt-br") - Notebooks
- Google Colab
- Kaggle
from transformers import pipeline
unmasker = pipeline('fill-mask', model='josu/roberta-pt-br')
text = 'Brasilia é a capital do <mask>'
[{'sequence': 'Brasilia é a capital do Brasil',
'score': 0.24386335909366608,
'token': 707,
'token_str': ' Brasil'},
{'sequence': 'Brasilia é a capital do estado',
'score': 0.2320091277360916,
'token': 1031,
'token_str': ' estado'},
{'sequence': 'Brasilia é a capital do país',
'score': 0.0665697380900383,
'token': 998,
'token_str': ' país'},
{'sequence': 'Brasilia é a capital do Rio',
'score': 0.05980581417679787,
'token': 993,
'token_str': ' Rio'},
{'sequence': 'Brasilia é a capital do capital',
'score': 0.058453518897295,
'token': 2027,
'token_str': ' capital'}]
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