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bart-large-mnli

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I have an error on "Numpy is not available". However I have imported and upgraded. Anyone faced this problem before? How to solve it thx!!

Output exceeds the size limit. Open the full output data in a text editor

RuntimeError Traceback (most recent call last)

  2 sequence_to_classify = "one day I will see the world"
  3 candidate_labels = ['travel', 'cooking', 'dancing']

----> 4 classifier(sequence_to_classify, candidate_labels,multi_class=True)

ZeroShotClassificationPipeline.call(self, sequences, *args, **kwargs)
179 else:
180 raise ValueError(f"Unable to understand extra arguments {args}")
--> 182 return super().call(sequences, **kwargs)

batch_size, *args, **kwargs)
1072 return self.iterate(inputs, preprocess_params, forward_params, postprocess_params)
1073 else:
-> 1074 return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)

preprocess_params, forward_params, postprocess_params)
1096 model_outputs = self.forward(model_inputs, **forward_params)
1097 all_outputs.append(model_outputs)
-> 1098 outputs = self.postprocess(all_outputs, **postprocess_params)
1099 return outputs

ZeroShotClassificationPipeline.postprocess(self, model_outputs, multi_label)
212 candidate_labels = [outputs["candidate_label"] for outputs in model_outputs]
...
--> 214 logits = np.concatenate([output["logits"].numpy() for output in model_outputs])
215 N = logits.shape[0]
216 n = len(candidate_labels)

RuntimeError: Numpy is not available