SpaCy DisplaCy不检测自定义IOB标签

import spacy
from spacy.training import Example

# 加载空白模型
nlp = spacy.blank("en")

# 添加 NER 组件
ner = nlp.add_pipe("ner")

# 添加自定义标签
ner.add_label("PERSON")
ner.add_label("ORG")

# 训练数据
train_data = [
    ("John Doe is the CEO of Acme Corp.", [(7, 10, "PERSON"), (23, 30, "ORG")]),
    ("Jane Smith works at Google.", [(7, 15, "PERSON"), (23, 29, "ORG")])
]

# 创建 Example 对象
examples = []
for text, annotations in train_data:
    doc = nlp.make_doc(text)
    example = Example.from_dict(doc, annotations)
    examples.append(example)

# 训练模型
nlp.begin_training()
for i in range(20):
    losses = {}
    nlp.update(examples, losses=losses)
    print(losses)

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

# 加载模型并使用 DisplaCy 可视化
nlp2 = spacy.load("./custom_ner_model")
doc = nlp2("John Doe is the CEO of Acme Corp.")
displacy.render(doc, style="ent", jupyter=False)