Instructions to use WindstormLabs/translate-de-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-es 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-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f0a7d6929d8e09217b58cd6e437c3973a9869fec3c017c8f739ed5532b431b4
- Size of remote file:
- 818 kB
- SHA256:
- d15fb47311fe1d385213350041a25dcb2f2b0ceb7d7102b7853b1405b33fd794
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