Instructions to use jamesbaskerville/classify-articles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesbaskerville/classify-articles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jamesbaskerville/classify-articles")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jamesbaskerville/classify-articles") model = AutoModelForSequenceClassification.from_pretrained("jamesbaskerville/classify-articles") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e51913cf6ec014d5324b30788ea7ae8683125d9087c866668e0d4b16838730f
- Size of remote file:
- 46.8 MB
- SHA256:
- 7bf37bf834442ed64e7594dc101754a1a27db9fc60e46c578dae2c6a95326d59
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