Bug? Pipeline is discarding some of the predictions
Hello, I have a fine tuned NER model, that is posted on HuggingFace. I tried one time using pipeline in my jupyter notebook and left out aggregation_strategy. The pipeline printed to output something, that is hidden on the HuggingFace site and when using aggregation_strategy set to simpleWithout the strategy[{‘entity’: ‘B-O’,‘score’: 0.88954985,‘index’: 1,‘word’: ‘▁Titan’,‘start’: 0,‘end’: 5},{‘entity’: ‘I-O’,‘score’: 0.8819839,‘index’: 2,‘word’: ‘ik’,‘start’: 5,‘end’: 7},{‘entity’: ‘B-T’,‘score’: 0.999821,‘index’: 16,‘word’: ‘▁1912’,‘start’: 52,‘end’: 56},{‘entity’: ‘B-G’,‘score’: 0.9994797,‘index’: 23,‘word’: ‘▁Atlantik’,‘start’: 72,‘end’: 80},{‘entity’: ‘I-G’,‘score’: 0.9997135,‘index’: 24,‘word’: ‘u’,‘start’: 80,‘end’: 81}]With the strategy[{‘entity_group’: ‘T’,‘score’: 0.9999019,‘word’: ‘1912’,‘start’: 52,‘end’: 56},{‘entity_group’: ‘G’,‘score’: 0.99984026,‘word’: ‘Atlantiku’,‘start’: 72,‘end’: 81}]Did someone run into something similar or is it a bug?