Instructions to use WindstormLabs/translate-de-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-ln 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-ln")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ln", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae73452fc7c960af57e295a63ab7134c07fc05bf2ccd117a13dbcbc8a2027560
- Size of remote file:
- 77.3 MB
- SHA256:
- 647986df5dbe3343db7bf8b85e37f6cc791523502c8e1c08aa56c30a883a06d6
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