Instructions to use WindstormLabs/translate-zh-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-zh-ms with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-zh-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-zh-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fdbd55b82228b1dc8ac8b488c3295e4b0f77c80405e11f6aee4922a680104c8
- Size of remote file:
- 749 kB
- SHA256:
- 8ba0a7b394095a6739e7794253658c158718c10db8c32b4503951e78ac4f6b9d
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