我在使用Word2Vec预训练模型时无法加载，缺少配置文件。但我尝试用网盘分享的下载zip解压，删掉全部重新运行代码。依然报这个错误。请问是什么问题？
另外有没有2.x的比较全的文档包，因为我的python执行环境无法使用在线api，
import hanlp
model = hanlp.load(hanlp.pretrained.word2vec.CONVSEG_W2V_NEWS_TENSITE_WORD_PKU)
model([
‘看图猜一电影名’,
‘无线路由器怎么无线上网’,
‘北京到上海的动车票’,
])
Traceback (most recent call last):
File “E:/Project/python/jxnlp-sdk/test/Word2VecTest.py”, line 9, in
model = hanlp.load(hanlp.pretrained.word2vec.CONVSEG_W2V_NEWS_TENSITE_WORD_PKU)
File “E:\Project\python\jxnlp-sdk\hanlp_init_.py”, line 43, in load
return load_from_meta_file(save_dir, ‘meta.json’, verbose=verbose, **kwargs)
File “E:\Project\python\jxnlp-sdk\hanlp\utils\component_util.py”, line 53, in load_from_meta_file
raise FileNotFoundError(f’The identifier {save_dir} resolves to a non-exist meta file {metapath}. {tips}’)
FileNotFoundError: The identifier C:\Users\Administrator\AppData\Roaming\hanlp\hanlp\embeddings\convseg_embeddings\news_tensite.pku.words.w2v50 resolves to a non-exist meta file C:\Users\Administrator\AppData\Roaming\hanlp\hanlp\embeddings\convseg_embeddings\news_tensite.pku.words.w2v50\config.json.