Instructions to use argmining-vaccines/spanberta-base-cased-reason_augmented_extra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use argmining-vaccines/spanberta-base-cased-reason_augmented_extra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="argmining-vaccines/spanberta-base-cased-reason_augmented_extra")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/spanberta-base-cased-reason_augmented_extra") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/spanberta-base-cased-reason_augmented_extra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c30ee58f7964c9315380bb4d6a59d8acd133346f40b0c2f2f16a4f75c9ff4ac
- Size of remote file:
- 496 MB
- SHA256:
- bef898ccc1339ed3252d26017074a5e83f263616251af1fb05d45b83dea906e9
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