Instructions to use WindstormLabs/translate-de-fj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-fj 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-de-fj")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-fj", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35cc180044c586d0cf82a3475f6b7377432d2dab7774cd3e815a9f974363a536
- Size of remote file:
- 863 kB
- SHA256:
- ce601f036da4e111777a801d4f2b37a333d22315ef94693e8e0650b3c696269f
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