Instructions to use lsr42/ep_query_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lsr42/ep_query_encoder with Transformers:
# Load model directly from transformers import EPICQueryEncoder model = EPICQueryEncoder.from_pretrained("lsr42/ep_query_encoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42b185c5d5650d554424febd1919e21c512fb4caf6aa6e7097126bf98f019294
- Size of remote file:
- 265 MB
- SHA256:
- 57ef547813498e2124e15aac2c360758c36a9d102436a0cc5999d2ea651631c4
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