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:
- 92f37ce1587c75f424985df79e2a646abcec5fd6178e8423998e2d2d0883b11d
- Size of remote file:
- 3.39 kB
- SHA256:
- c71ff2ada507147ca6290265ee3e9dbbb3bbc28e014e9c973d8af8afc117f780
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