Instructions to use MzudemO/chapter-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MzudemO/chapter-segmentation-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("MzudemO/chapter-segmentation-model") model = AutoModelForNextSentencePrediction.from_pretrained("MzudemO/chapter-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08f1a1881635fce89b9b85074348de72c877995f55ff70251574d98e187b8695
- Size of remote file:
- 440 MB
- SHA256:
- 35c90d7468e89f33979d55f897ec751db27a79aeb7005cd27e98cc4fc2a9a29d
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