Instructions to use WindstormLabs/translate-zh-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-zh-sv 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-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-zh-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbd912eb73e798d0728b979b6fc6fff3cbb6db2b06619b7fbe4d2bfc07b7dc2b
- Size of remote file:
- 749 kB
- SHA256:
- c54cf6e4d6888fafab0444eaf9cf5465eec5a8c6f323510a07929ac5ef9daa12
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