Instructions to use argmining-vaccines/spanberta-base-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/spanberta-base-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/spanberta-base-cased-reason_augmented_extra")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/spanberta-base-cased-reason_augmented_extra") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/spanberta-base-cased-reason_augmented_extra") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:09f281856b991ecfb7c3a41114619a766d67c5518b292787ebe6293f1ce8e515
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size 496254448
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