Instructions to use rufimelo/Legal-BERTimbau-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rufimelo/Legal-BERTimbau-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rufimelo/Legal-BERTimbau-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rufimelo/Legal-BERTimbau-base") model = AutoModelForMaskedLM.from_pretrained("rufimelo/Legal-BERTimbau-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71290d7e5ed439404af792f2a802ff951a66fe934e4ff4bdea29872f37c5ba1b
- Size of remote file:
- 436 MB
- SHA256:
- 717571cd23acac9eecd21bdf24c4c065ec8fb248ae78db3699fca0470c5c3f47
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