Instructions to use WindstormLabs/translate-de-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-mt 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-mt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-mt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39c08710c28acb003fbf20937ff2ed42eb5ae8ae602eb19a5eec2b8a68bc538c
- Size of remote file:
- 791 kB
- SHA256:
- 649de6d5ef64eb52a84db37905fa10d6277486580fed7b0f0c32917f51087e85
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