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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ebe17737238a1617a9f7d4fa3fa15cda71241c69b906463fd6f7040d4b8d45b
- Size of remote file:
- 1.48 GB
- SHA256:
- e91440daa65b50b29cb6eb659164265ba6633015f3ff7c2b8e20fb0f8685d2b9
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