can‘t find model ‘zh_core_web_sm‘. It doesn‘t seem to be a python package or a valid path to a data_can't find model 'zh_core_web_sm'. it doesn't seem

成功解决[E050] Can’t find model ‘en_core_web_sm’. It doesn’t seem to be a Python package or a valid path to a data directory.
直接上解决方案

步骤一：

豆瓣源安装spacy包

pip install spacy -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
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步骤二：下载en_core_web_sm或者zh_core_web_sm包，缺哪个下载哪个

zh_core_web_sm
en_core_web_sm
spacy中文模型官网
spacy官网

注意根据对应版本下载

步骤三：终端pip安装whl

pip install + whl文件地址

pip install C:\Users\Zz\zh_core_web_sm-3.6.0-py3-none-any.whl
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接下来就可以使用啦，给出两个小栗子

import spacy

# 加载英文模型
nlp = spacy.load("en_core_web_sm")

# 示例文本
text = "Apple is planning to build a new factory in China."

# 定义句式
pattern = [{"POS": "PROPN"}, {"LEMMA": "be"}, {"POS": "VERB"}]

# 处理文本
doc = nlp(text)

# 匹配句式
matcher = spacy.matcher.Matcher(nlp.vocab)
matcher.add("CustomPattern", None, pattern)
matches = matcher(doc)

# 提取匹配的数据并进行标注
for match_id, start, end in matches:
    span = doc[start:end]
    print("Matched:", span.text)
    span.merge()

# 打印标注后的文本
print("Tagged Text:", doc.text)

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import spacy
# 加载中文模型
nlp = spacy.load("zh_core_web_sm")

text = "写入历史了：苹果是美国第一家市值超过一万亿美元的上市公司。"

# 处理文本
doc = nlp(text)

for token in doc:
    # 获取词符文本、词性标注及依存关系标签
    token_text = token.text
    token_pos = token.pos_
    token_dep = token.dep_
    # 规范化打印的格式
    print(f"{token_text:<12}{token_pos:<10}{token_dep:<10}")
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