TurkuNLP
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web-register-classification-multilingual

Text Classification

Inference Endpoints

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erikhenriksson commited on May 2

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@@ -186,7 +186,7 @@ with torch.no_grad():
 # Apply sigmoid to the logits to get probabilities
 probabilities = torch.sigmoid(outputs.logits).squeeze()
-# Determine a threshold for predicting labels (e.g., 0.5)
 threshold = 0.5
 predicted_label_indices = (probabilities > threshold).nonzero(as_tuple=True)[0]

 # Apply sigmoid to the logits to get probabilities
 probabilities = torch.sigmoid(outputs.logits).squeeze()
+# Determine a threshold for predicting labels
 threshold = 0.5
 predicted_label_indices = (probabilities > threshold).nonzero(as_tuple=True)[0]