Instructions to use argmining-vaccines/spanberta-base-cased-reason_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-reason_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-reason_augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/spanberta-base-cased-reason_augmented") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/spanberta-base-cased-reason_augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 158ecde02e77f844ebe30a9a100d5051b7a51fddcca32b4dceeecf822f5ffc56
- Size of remote file:
- 496 MB
- SHA256:
- 4d02f1f9aad7e043d070318b864684edbe9bbad4ff2dd777efb6512cba97f445
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