Instructions to use argmining-vaccines/bert-base-spanish-wwm-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/bert-base-spanish-wwm-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/bert-base-spanish-wwm-cased-reason_augmented_extra")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/bert-base-spanish-wwm-cased-reason_augmented_extra") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/bert-base-spanish-wwm-cased-reason_augmented_extra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03f05d071f8335535f7f690e82a4e0fc12ad9263fb3742cecdbfcacba185d126
- Size of remote file:
- 437 MB
- SHA256:
- 8895f2bc8bb0a30b160b29bba2b2a86fb118fafc2cd3879c85adb6372c22b881
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