Instructions to use flavio-nakasato/roberdou_100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flavio-nakasato/roberdou_100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flavio-nakasato/roberdou_100k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flavio-nakasato/roberdou_100k") model = AutoModelForMaskedLM.from_pretrained("flavio-nakasato/roberdou_100k") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("flavio-nakasato/roberdou_100k")
model = AutoModelForMaskedLM.from_pretrained("flavio-nakasato/roberdou_100k")Quick Links
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Check out the documentation for more information.
MLM fine-tuned from BR-BERTo model on the Brazilian Federal Official Gazette (100k instances)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flavio-nakasato/roberdou_100k")