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modeling_backpack_gpt2_nli.py

@@ -58,6 +58,6 @@ class BackpackGPT2NLIModel(GPT2PreTrainedModel):
     def predict(self, input_ids=None, attention_mask=None):
         logits = self.forward(input_ids, attention_mask, labels=None)['logits']
         p = torch.argmax(logits, axis=1)
-        labels = [self.config.id2label[index] for index in p]
+        labels = [self.config.id2label[index.item()] for index in p]
         return labels