Instructions to use hantian/layoutreader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hantian/layoutreader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hantian/layoutreader")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hantian/layoutreader") model = AutoModelForTokenClassification.from_pretrained("hantian/layoutreader") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0455193fa89363d294d5e8832e0ff59dbbfddae3fdd78d246dcfbfacd68a28f8
- Size of remote file:
- 713 MB
- SHA256:
- cfa0c9b13a4f963da5ed4e2a0ed887002946a1ef188e8aa55f70d3ef200b3034
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