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:
- 6e1143a0af322e447f7ebdc52725364654e4a48c10e694fc9fa7f3575104fab7
- Size of remote file:
- 797 kB
- SHA256:
- 114934d52cd1161a7ef6c3b3e9a36dc0e875b9c507f394c7ae5bf0035492dda2
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