Instructions to use GEOcite/DocumentSegmentationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GEOcite/DocumentSegmentationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GEOcite/DocumentSegmentationModel")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("GEOcite/DocumentSegmentationModel") model = AutoModelForTokenClassification.from_pretrained("GEOcite/DocumentSegmentationModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d8ee1ed60cc1a09b57efdcc22ad65252931d911bd471bd293770836e5b6390f
- Size of remote file:
- 17.1 MB
- SHA256:
- 59e330e60ce9673c72bf8968809f2b067cb348aaae48e0e0d76627d47b37eede
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