Instructions to use JayRay5/DIVE-Doc-ARD-LRes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JayRay5/DIVE-Doc-ARD-LRes with Transformers:
# Load model directly from transformers import DIVEdoc model = DIVEdoc.from_pretrained("JayRay5/DIVE-Doc-ARD-LRes", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0445195edcab39cf5bc146be8ed70e6a1187efbdf20d1865cd1ebc510c214811
- Size of remote file:
- 34.6 MB
- SHA256:
- 172fab587d68c56b63eb3620057c62dfd15e503079ff7fce584692e3fd5bf4da
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