Instructions to use argmining-vaccines/bert-base-spanish-wwm-cased-compressed_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-compressed_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-compressed_augmented_extra")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/bert-base-spanish-wwm-cased-compressed_augmented_extra") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/bert-base-spanish-wwm-cased-compressed_augmented_extra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9e52efb833629108ba7fc51d6974c4a970c952d63dcfe97400059351a55ed05
- Size of remote file:
- 437 MB
- SHA256:
- 53acae257c0885a4518e9594ebe9a190fcc69685926f5e51ac8c340bce5a3f33
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