unum-cloud
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uform-vl-english-large-gpu-fp16

Feature Extraction

Inference Endpoints

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kimihailv commited on Mar 28

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@@ -93,10 +93,6 @@ __Cons__:
 Unlike cosine similarity, unimodal embedding are not enough.
 Joint embedding will be needed and the resulting `score` will belong to the `[0, 1]` range, `1` meaning the absolute match.
-```python
-score = model.get_matching_scores(joint_embedding)
-```
 __Pros__:
 - Joint embedding captures fine-grained features.

 Unlike cosine similarity, unimodal embedding are not enough.
 Joint embedding will be needed and the resulting `score` will belong to the `[0, 1]` range, `1` meaning the absolute match.
 __Pros__:
 - Joint embedding captures fine-grained features.