Instructions to use WindstormLabs/translate-de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-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-de-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80f271592e941fe4caa1f38cd645e7a03cd9ea1a37dc644460d72dfe61be9b56
- Size of remote file:
- 76 MB
- SHA256:
- 2394b11bd3dc5a0e4c54566a407fbbd1adc001961cf928e05a545bb41dfe10b8
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