Instructions to use argmining-vaccines/spanberta-base-cased-compressed_augmented 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/spanberta-base-cased-compressed_augmented") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/spanberta-base-cased-compressed_augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abb56372e338373e813b65de330f38719a89df2d2ca9dec36a0758e2742039af
- Size of remote file:
- 496 MB
- SHA256:
- d2c62cd9d2139c227529e0406e680e3901d6edb929160a0276621832ac7b107d
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