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:
- 39ccfeaf9aa24b6ac862ced9a50c2e693fce7d1e0a2ca75a3944f14fd3ea1531
- Size of remote file:
- 77.6 MB
- SHA256:
- 59acf8f8d60eed2af5cc09b463cbb96094ab244cb551ef29510cf29fbf8634f0
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