Instructions to use spacy/zh_core_web_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/zh_core_web_sm with spaCy:
!pip install https://huggingface.co/spacy/zh_core_web_sm/resolve/main/zh_core_web_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("zh_core_web_sm") # Importing as module. import zh_core_web_sm nlp = zh_core_web_sm.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from spacy/zh_core_web_sm: direct link, hf CLI and curl.
- Browser
- Download file 6.15 MB
-
https://huggingface.co/spacy/zh_core_web_sm/resolve/main/ner/model
- Command line
-
hf download hf://spacy/zh_core_web_sm/ner/model
-
curl -L -o model https://huggingface.co/spacy/zh_core_web_sm/resolve/main/ner/model
6.15 MB
- Xet hash:
- ea31fb7ec965f0f6760cae3a6a315d65707614b1204b0dec6e40d5fe09654f84
- Size of remote file:
- 6.15 MB
- SHA256:
- 1cb6c2037a491352e379b058bdde25d3a9d757880d098103e5469ad9ed8f6de1
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