Instructions to use WindstormLabs/translate-da-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-da-en 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-da-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-da-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d18c287ee3e461d01b2bcd130b97e988be865248cf2a6e419769dd6b4f6613b
- Size of remote file:
- 820 kB
- SHA256:
- c97d12d35fe411947392d927f0be14985e2ea0e5cf258164db7f37780563ca15
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