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:
- 2ef93e5af8c60991d45a2b3eb404aa1f940f6d0fe95e1bc3d8d029ef9dca5f92
- Size of remote file:
- 4.92 kB
- SHA256:
- 574270cc2969c6ee9144815ed89a63ba1663ea9d5af0ec024c7285a220a4bda4
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