KennethTM
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MiniLM-L6-danish-reranker-v2

Text Classification

Inference Endpoints

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KennethTM commited on Jun 26

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@@ -49,6 +49,7 @@ with torch.no_grad():
     scores = model(**features).logits
 # The scores are raw logits, these can be transformed into probabilities using the sigmoid function
 print(scores)
 print(F.sigmoid(scores))
 ```

     scores = model(**features).logits
 # The scores are raw logits, these can be transformed into probabilities using the sigmoid function
+# Higher values are higher relevance
 print(scores)
 print(F.sigmoid(scores))
 ```