Instructions to use WindstormLabs/translate-de-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-tl 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-tl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-tl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73cd6723fecef570fcf2ef9766eb56b7e0c191f1c3665ea6987e35fc7d4f81f2
- Size of remote file:
- 833 kB
- SHA256:
- 5cb32bc3e504fabc217f7f7c8186fe9d507e4bdd2a9f88946dbf27a1445d8524
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