Instructions to use julian16/chapter_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julian16/chapter_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="julian16/chapter_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("julian16/chapter_classifier") model = AutoModelForSequenceClassification.from_pretrained("julian16/chapter_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a8a7edbb61ed0134c0da37de52c33aff973a3f5db41187a3a7c054938e0bda9
- Size of remote file:
- 499 MB
- SHA256:
- 72a927fa2337d329a11bf18ea6330886d0ea2e62a816ec96e187cc872d5879b1
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