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Xenova/bert-base-chinese-ws
bert-base-chinese-ws is a token classification model from Xenova. Use it when you need labels on individual words, such as names. It is set up for transformers.js.
https://huggingface.co/ckiplab/bert-base-chinese-ws with ONNX weights to be compatible with Transformers.js.
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.onnx714 MB · 100%
From the Hugging Face model README
https://huggingface.co/ckiplab/bert-base-chinese-ws with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).