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
Model card
#1
by ju-resplande - opened
No description provided.
ju-resplande changed pull request title from Model card data to Model card
eduagarcia changed pull request status to merged