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:
- ef8f8c58fcd551fa80d7233c880cf1a494b1efe5c06034a5a9759ad9d22b364f
- Size of remote file:
- 77.6 MB
- SHA256:
- 11f535de3e2b3d5f81fdc63973897b3c1b9689ac28d027d9a166563ec09b95e3
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