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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1af94b241b7adc56df8af58fa8358bd20c9cf6e423f4597f2d41e22732c10495
- Size of remote file:
- 329 MB
- SHA256:
- c042baf8dd8a2be42f407b083d4babce259abacf06584702055b39bedf8cbf8a
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