Instructions to use Charliefederer/zh_core_web_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Charliefederer/zh_core_web_trf with spaCy:
!pip install https://huggingface.co/Charliefederer/zh_core_web_trf/resolve/main/zh_core_web_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("zh_core_web_trf") # Importing as module. import zh_core_web_trf nlp = zh_core_web_trf.load() - Notebooks
- Google Colab
- Kaggle
Download tokenizer/pkuseg_model/features.msgpack from Charliefederer/zh_core_web_trf: direct link, hf CLI and curl.
- Browser
- Download file 22.7 MB
-
https://huggingface.co/Charliefederer/zh_core_web_trf/resolve/main/tokenizer/pkuseg_model/features.msgpack
- Command line
-
hf download hf://Charliefederer/zh_core_web_trf/tokenizer/pkuseg_model/features.msgpack
-
curl -L -o features.msgpack https://huggingface.co/Charliefederer/zh_core_web_trf/resolve/main/tokenizer/pkuseg_model/features.msgpack
22.7 MB
- Xet hash:
- a5b06bd1cebf6b326282b62b813df0fe163ec3051900431de4fc41a614d81810
- Size of remote file:
- 22.7 MB
- SHA256:
- fd4322482a7018b9bce9216173ae9d2848efe6d310b468bbb4383fb55c874a18
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