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	dont use get_array_module (#11056)
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				|  | @ -192,7 +192,7 @@ class TextCategorizer(TrainablePipe): | |||
|         if not any(len(doc) for doc in docs): | ||||
|             # Handle cases where there are no tokens in any docs. | ||||
|             tensors = [doc.tensor for doc in docs] | ||||
|             xp = get_array_module(tensors) | ||||
|             xp = self.model.ops.xp | ||||
|             scores = xp.zeros((len(list(docs)), len(self.labels))) | ||||
|             return scores | ||||
|         scores = self.model.predict(docs) | ||||
|  |  | |||
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