Fill-Mask
Transformers
PyTorch
Portuguese
deberta-v2
albertina-pt*
albertina-100m-portuguese-ptpt
albertina-100m-portuguese-ptbr
albertina-900m-portuguese-ptpt
albertina-900m-portuguese-ptbr
albertina-1b5-portuguese-ptpt
albertina-1b5-portuguese-ptbr
bert
deberta
portuguese
encoder
foundation model
Instructions to use PORTULAN/albertina-1b5-portuguese-ptbr-encoder-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PORTULAN/albertina-1b5-portuguese-ptbr-encoder-256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PORTULAN/albertina-1b5-portuguese-ptbr-encoder-256")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PORTULAN/albertina-1b5-portuguese-ptbr-encoder-256") model = AutoModelForMaskedLM.from_pretrained("PORTULAN/albertina-1b5-portuguese-ptbr-encoder-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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