Instructions to use WangZeJun/electra-small-chinese-spelling-check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WangZeJun/electra-small-chinese-spelling-check with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WangZeJun/electra-small-chinese-spelling-check", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from WangZeJun/electra-small-chinese-spelling-check: direct link, hf CLI and curl.
- Browser
- Download file 49.2 MB
-
https://huggingface.co/WangZeJun/electra-small-chinese-spelling-check/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://WangZeJun/electra-small-chinese-spelling-check@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/WangZeJun/electra-small-chinese-spelling-check/resolve/refs%2Fpr%2F1/model.safetensors
49.2 MB
- Xet hash:
- bac917e1f1c39768aaf7aa49c0d2b15d65440c95776f72e1b54272ecf0f7b884
- Size of remote file:
- 49.2 MB
- SHA256:
- 3ff94327f2c0feea42781a895b0c123f029b0deb5863a0f9c7341ea431399165
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.