Instructions to use argmining-vaccines/spanberta-base-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/spanberta-base-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/spanberta-base-cased-stance_augmented_extra")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/spanberta-base-cased-stance_augmented_extra") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/spanberta-base-cased-stance_augmented_extra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:48b521ae55c7812d6095ff7930fe72fb7d73429dc92d95eb555cf54e6744e337
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size 496266752
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