Instructions to use flavio-nakasato/berdou_500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flavio-nakasato/berdou_500k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flavio-nakasato/berdou_500k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flavio-nakasato/berdou_500k") model = AutoModelForMaskedLM.from_pretrained("flavio-nakasato/berdou_500k") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
MLM fine-tuned from Bertimbau-Base model on the Brazilian Federal Official Gazette (500k instances)
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