Instructions to use WindstormLabs/translate-tl-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tl-de 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-tl-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tl-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f58735ac14b3423b2e72105efe92ce71303aba94824d0b789b0f59080e22da49
- Size of remote file:
- 833 kB
- SHA256:
- 6ada7e7f5daf801211d3d478cb336919b53dc9fb23a0f2cbab2c67e609c215e1
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