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:
- afe790b82fa3e760c98be23d8e51d12085ae8efae5fde9038bd3ed57eaafe4e8
- Size of remote file:
- 5 GB
- SHA256:
- d13c8ed8a634b55f7b90d76f5e275db0db3e2029d6c82d151ef1773c1da97a76
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