Instructions to use WangZeJun/roformer-sim-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WangZeJun/roformer-sim-base-chinese with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WangZeJun/roformer-sim-base-chinese", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1063fb291a0e391ded68f8d88b86a8fe11c4a9480a06e4435b29ba9327ce5487
- Size of remote file:
- 380 MB
- SHA256:
- 9f1c8c001408cb77a1f12188e3622bb4180f36162ee626713fad78de84d1446d
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