Instructions to use WindstormLabs/translate-es-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ln 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-es-ln")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ln", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3af1c450e754d7b9a3e3024fba39304ea6c13a310ed8618a4085b70004c57336
- Size of remote file:
- 77.1 MB
- SHA256:
- 87df8bbb79540f94ab7e13c9203cef235456da745115d28b3c243aee98c57c08
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