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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://WangZeJun/electra-small-chinese-spelling-check@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/WangZeJun/electra-small-chinese-spelling-check/resolve/refs%2Fpr%2F1/pytorch_model.bin
49.2 MB
- Xet hash:
- 1e8626c45679731581c47bc3d4b0912c56cad0cdab031cc28cb2301b441cb6f2
- Size of remote file:
- 49.2 MB
- SHA256:
- c0b2a7835a626bc061ab0c43114f34ac669fabc7bf4593b73ea37bcc8904d07d
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