Instructions to use Mit1208/UDOP-finetuned-DocLayNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mit1208/UDOP-finetuned-DocLayNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mit1208/UDOP-finetuned-DocLayNet")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mit1208/UDOP-finetuned-DocLayNet") model = AutoModelForTokenClassification.from_pretrained("Mit1208/UDOP-finetuned-DocLayNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a55b85cbf836357ad6e753817155cba4dcec92ab73affb51e793a0eacf6ea9b
- Size of remote file:
- 4.92 kB
- SHA256:
- 531127c1614682cb324be282a02c57e67df3a4b21be6729249633b216bb67b86
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