Python 加载自定义的Ner模型-失败

代码是--

将模型另存为-

output_dir=Path("path_name")
if output_dir is not None:
    output_dir = Path(output_dir)
    if not output_dir.exists():
        output_dir.mkdir()
    nlp.to_disk(output_dir)
    print("Saved model to", output_dir)

加载模型为-

nlp = spacy.load(path_name)

下面是一个错误-

KeyError: "[E002] Can't find factory for 'skills_ruler'. This usually happens when spaCy calls `nlp.create_pipe` with a component name that's not built in - for example, when constructing the pipeline from a model's meta.json. If you're using a custom component, you can write to `Language.factories['skills_ruler']` or remove it from the model meta and add it via `nlp.add_pipe` instead."

我试过这个：-

from spacy.language import Language
from spacy.pipeline import EntityRuler
Language.factories["skills_ruler"] = lambda nlp, **cfg: EntityRuler(nlp, **cfg)
pipe = nlp.create_pipe("skills_ruler") 

但它也给出了错误--：

from spacy.language import Language
from spacy.pipeline import EntityRuler
Language.factories["skills_ruler"] = lambda nlp, **cfg: EntityRuler(nlp, **cfg)
pipe = nlp.create_pipe("skills_ruler") 

ImportError: cannot import name 'EntityRuler'