Fill-Mask
Transformers
PyTorch
Safetensors
Portuguese
modernbert
encoder
portuguese
masked-language-modeling
Instructions to use Itau-Unibanco/NorBERTo-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Itau-Unibanco/NorBERTo-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Itau-Unibanco/NorBERTo-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Itau-Unibanco/NorBERTo-base") model = AutoModelForMaskedLM.from_pretrained("Itau-Unibanco/NorBERTo-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c37123334d2cb0e942937797db3c1a2cfc7ef3ac8f87e4366f73e722b68a4036
- Size of remote file:
- 599 MB
- SHA256:
- 30655471da2c870dccb7a0a9a2c9f77d834c26b896b30d0030b54f0d68a0ffa0
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