Fill-Mask
Transformers
Safetensors
Portuguese
modernbert
portuguese
bert
encoder
mlm
masked-language-model
Instructions to use lorenzocc/NeoBERTugues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lorenzocc/NeoBERTugues with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lorenzocc/NeoBERTugues")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lorenzocc/NeoBERTugues") model = AutoModelForMaskedLM.from_pretrained("lorenzocc/NeoBERTugues") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5459175366d352647537fc36d44ea057ca3fe87f24eb62b0d435d9f539d5527d
- Size of remote file:
- 542 MB
- SHA256:
- 4a86a2e3f0937a18c47a04961724cecea93ba53da0fe3b6dfafd71b929fa9886
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