Instructions to use josu/albert-pt-br with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use josu/albert-pt-br with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="josu/albert-pt-br")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("josu/albert-pt-br") model = AutoModelForMaskedLM.from_pretrained("josu/albert-pt-br", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8f8595193504794f990e4b1d6fde78700916140935ca7a8de07c8bae747c368
- Size of remote file:
- 45.9 MB
- SHA256:
- e752de2718345c49b6adcdc5c3dcdeb7dacd3a3cc303df111bfc250c9938c369
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