Instructions to use WindstormLabs/translate-ja-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb4009a19ee87efa83df38ac4db897120b3d96655e3a33b0971500203b01e699
- Size of remote file:
- 782 kB
- SHA256:
- d0b5c3b10b5959f056ff2c86e2f2356129242ff1fc72d3a4a34d6a8c0eee4e57
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