Instructions to use argmining-vaccines/spanberta-base-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/spanberta-base-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/spanberta-base-cased-compressed_augmented_extra")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/spanberta-base-cased-compressed_augmented_extra") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/spanberta-base-cased-compressed_augmented_extra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 589ea6a34b410069fa230655ea4e481964474241cfe9fbe660a6a7cf72882002
- Size of remote file:
- 496 MB
- SHA256:
- d0dde382af3da50f80d1d83e5275bbbd3f48a8480a2f560e93e49edfa3056f5f
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