Instructions to use eduagarcia/RoBERTaLexPT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eduagarcia/RoBERTaLexPT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eduagarcia/RoBERTaLexPT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eduagarcia/RoBERTaLexPT-base") model = AutoModelForMaskedLM.from_pretrained("eduagarcia/RoBERTaLexPT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e98313f60851ef2c08389a5d3b572692334bd703e9760af320d7c83db3dd2168
- Size of remote file:
- 499 MB
- SHA256:
- 8b725fc79a9343628d2aa1c2ea17fe85e8114d0ea915a331b23773117e8a2257
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