相关疑难解决方法(0)

我正在查看用于命名实体识别的 Huggingface 管道的文档，我不清楚这些结果如何用于实际的实体识别模型。

例如，给出文档中的示例：

>>> from transformers import pipeline

>>> nlp = pipeline("ner")

>>> sequence = "Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO, therefore very"
...            "close to the Manhattan Bridge which is visible from the window."

This outputs a list of all words that have been identified as an entity from the 9 classes     defined above. Here is the expected results:

print(nlp(sequence))

[
{'word': 'Hu', 'score': 0.9995632767677307, 'entity': …