Instructions to use argmining-vaccines/bert-base-spanish-wwm-cased-stance_augmented_extra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use argmining-vaccines/bert-base-spanish-wwm-cased-stance_augmented_extra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="argmining-vaccines/bert-base-spanish-wwm-cased-stance_augmented_extra")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/bert-base-spanish-wwm-cased-stance_augmented_extra") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/bert-base-spanish-wwm-cased-stance_augmented_extra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eab2fc1b5c087272a11555254b758fbae42a12c66d7297f1a47873855839e980
- Size of remote file:
- 437 MB
- SHA256:
- d3b933f0c2374d35a202a5239764acf653e74ed68ebfb7821bddfd32f9df6d67
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