Instructions to use WindstormLabs/translate-ja-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-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-ja-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d966f3d028240e6e66b0ab75e447e85ac6518757825a7160f55cdc8a8cdd829
- Size of remote file:
- 77.9 MB
- SHA256:
- 05a5c8d3872aefa53fd5621bb36f22c8ad29bdd42b745c259c9ba2dcb88daefc
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