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 parser/model from spacy/zh_core_web_sm: direct link, hf CLI and curl.
- Browser
- Download file 309 kB
-
https://huggingface.co/spacy/zh_core_web_sm/resolve/main/parser/model
- Command line
-
hf download hf://spacy/zh_core_web_sm/parser/model
-
curl -L -o model https://huggingface.co/spacy/zh_core_web_sm/resolve/main/parser/model
309 kB
- Xet hash:
- 0393b74e4d9f909490c230617326d949209226919b426ae8a4328bb61b694d24
- Size of remote file:
- 309 kB
- SHA256:
- d1296aaaca06ab10a25cd0f32e4915c07974bdf775d1b4953bd34b7159518d7a
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