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:
- 644bde8e69afed6e75cf206b342140adf0b10a66f11db83fffff5373d6acc16c
- Size of remote file:
- 821 kB
- SHA256:
- f0e29988652d25fac185d80948f5242d1662ec241f0593bbde9fcc540499d836
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