Instructions to use argmining-vaccines/roberta-base-reason-extra_augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use argmining-vaccines/roberta-base-reason-extra_augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="argmining-vaccines/roberta-base-reason-extra_augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("argmining-vaccines/roberta-base-reason-extra_augmented") model = AutoModelForTokenClassification.from_pretrained("argmining-vaccines/roberta-base-reason-extra_augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1adab7df28e9b3edb2de087efa277d2aee059ace3f84bf87183429e99dea1a8
- Size of remote file:
- 496 MB
- SHA256:
- 654a63a75184528b50a7c80dbbb42a1cce747a0bd3a7c6a5457c898dcf4f65b8
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