Instructions to use WindstormLabs/translate-ja-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-da 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-da")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-da", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c33510523fed8af3b241c54d9f2683ccbd066734edc870fd275356f2cd258d0e
- Size of remote file:
- 854 kB
- SHA256:
- 72003f2d5fafbf93b47c40aa7706b7f77d5d7ee184568db987418e1fb4620377
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