Instructions to use JayRay5/DIVE-Doc-ARD-HRes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JayRay5/DIVE-Doc-ARD-HRes with Transformers:
# Load model directly from transformers import DIVEdoc model = DIVEdoc.from_pretrained("JayRay5/DIVE-Doc-ARD-HRes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef9ee0109ea3ab6ca5536ff6c9d841b195c8beec64c23ac89178809ca85dee60
- Size of remote file:
- 419 MB
- SHA256:
- 5a574121b7b6ffb0cabcdd379283e680e69cd8af4f7ff18e6e5f0cef8a2f2843
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