Instructions to use addy88/argument-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/argument-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addy88/argument-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("addy88/argument-classifier") model = AutoModelForSequenceClassification.from_pretrained("addy88/argument-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e417a41ece62463e2f1703868253d8d03f44f5f86741156287ef6ad711796f3
- Size of remote file:
- 499 MB
- SHA256:
- d352d743cd492d686276fc166ab0bd778c86dc5a5b136f519f1cedb5297eeb46
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