paddlenlp/taskflow/named_entity_recognition.py
def _postprocess(self, inputs):
        """
        The model output is the tag ids, this function will convert the model output to raw text.
        """
        results = self._decode(inputs['short_input_texts'],
                               inputs['all_pred_tags'])
        results = self._concat_short_text_reuslts(inputs['inputs'], results)
        return results

        The model output is the tag ids, this function will convert the model output to raw text.
        
The model output is the tag ids, this function will convert the model output to raw text.
The model output is the tag ids this function will convert the model output to raw text .
def _postprocess(self, inputs):
        results = self._decode(inputs['short_input_texts'],
                               inputs['all_pred_tags'])
        results = self._concat_short_text_reuslts(inputs['inputs'], results)
        return results
def _postprocess ( self , inputs ) : results = self . _decode ( inputs [ 'short_input_texts' ] , inputs [ 'all_pred_tags' ] ) results = self . _concat_short_text_reuslts ( inputs [ 'inputs' ] , results ) return results
The model output is the tag ids, this function will convert the model output to raw text.
The model output is the tag ids this function will convert the model output to raw text .
"""
        The model output is the tag ids, this function will convert the model output to raw text.
        """
self
inputs