Instructions to use lsr42/ep_doc_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lsr42/ep_doc_encoder with Transformers:
# Load model directly from transformers import EPICDocEncoder model = EPICDocEncoder.from_pretrained("lsr42/ep_doc_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b9a8b37d353d31c5fc8b8c90d68ea90a476ae920a5662b7e66841a72a4f9e4b
- Size of remote file:
- 268 MB
- SHA256:
- cc092f008af3e8ac7ef0aedf735566b69be1eb38c0817c09004cbef4e2043e77
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