Instructions to use jzju/dit-doclaynet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jzju/dit-doclaynet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="jzju/dit-doclaynet")# Load model directly from transformers import AutoImageProcessor, BeitForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("jzju/dit-doclaynet") model = BeitForSemanticSegmentation.from_pretrained("jzju/dit-doclaynet") - Notebooks
- Google Colab
- Kaggle