SpaCy自定义NER训练AttributeError：'DocBin‘对象没有属性'to_disk’

pip install -U spacy

import spacy
from spacy.training.example import Example

nlp = spacy.blank("en")  # 创建一个空的英文模型
ner = nlp.create_pipe("ner")
nlp.add_pipe(ner, last=True)

# 添加自定义实体标签
ner.add_label("CUSTOM_ENTITY")

# 准备训练数据
train_data = [
    ("This is a sentence about a custom entity.", {"entities": [(21, 35, "CUSTOM_ENTITY")]}),
    # 添加更多训练数据...
]

# 开始训练
for text, annotations in train_data:
    doc = nlp.make_doc(text)
    example = Example.from_dict(doc, annotations)
    nlp.update([example], losses={})

# 保存模型
nlp.to_disk("custom_ner_model")