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
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: layout-xlm-geocite-v2
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results: []
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license: cc-by-nc-sa-4.0
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tags:
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- generated_from_trainer
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base_model: microsoft/layoutxlm-base
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model-index:
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- name: layout-xlm-geocite-v2
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results: []
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