Instructions to use lisaterumi/postagger-portuguese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lisaterumi/postagger-portuguese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lisaterumi/postagger-portuguese")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lisaterumi/postagger-portuguese") model = AutoModelForTokenClassification.from_pretrained("lisaterumi/postagger-portuguese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 357c90a6af5a5c25fc3def69f9c2d1f51dc91bb2acc51b90403b6471fc0ba65a
- Size of remote file:
- 433 MB
- SHA256:
- 6843508abc20cbdcdd963590a4d443ddcf69626e8b71dde686577f592c01c7b9
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