load('zh_core_web_trf-3.8.0') cause Can't find factory for 'curated_transformer' for language Chinese (zh)

[TChengZ]

How to reproduce the behaviour

1、i download the zh_core_web_trf-3.8.0 from https://github.com/explosion/spacy-models/releases/tag/zh_core_web_trf-3.8.0
2、i unzip the download file and write the code like below

 local_path = './../zh_core_web_trf-3.8.0'
 nlp = spacy.load(local_path)
       
doc = nlp(text)

then the error happen:
Can't find factory for 'curated_transformer' for language Chinese (zh). This usually happens when spaCy calls nlp.create_pipe with a custom component name that's not registered on the current language class. If you're using a custom component, make sure you've added the decorator @Language.component (for function components) or @Language.factory (for class components).\n\nAvailable factories: attribute_ruler, tok2vec, merge_noun_chunks, merge_entities, merge_subtokens, token_splitter, doc_cleaner, parser, beam_parser, lemmatizer, trainable_lemmatizer, entity_linker, entity_ruler, tagger, morphologizer, ner, beam_ner, senter, sentencizer, spancat, spancat_singlelabel, span_finder, future_entity_ruler, span_ruler, textcat, textcat_multilabel

Your Environment

• Operating System:MACOS 15.1.1 (24B2091)

• Python Version Used: Python 3.10.11

• spaCy Version Used:

• Name: spacy
  Version: 3.8.5
  Summary: Industrial-strength Natural Language Processing (NLP) in Python
  Home-page: https://spacy.io
  Author: Explosion
  Author-email: contact@explosion.ai
  License: MIT
  Location: /Users/chenzujie/work/Autobots/autobots_backend/.venv/lib/python3.10/site-packages
  Requires: catalogue, cymem, jinja2, langcodes, murmurhash, numpy, packaging, preshed, pydantic, requests, setuptools, spacy-legacy, spacy-loggers, srsly, thinc, tqdm, typer, wasabi, weasel

• Environment Information:

[TChengZ]

i fixed the problem,when use local model file,you need to

pip install spacy==3.8.5
pip install spacy-curated-transformers==0.3.0
pip install spacy-pkuseg==1.0.0

[github-actions]

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