Instructions to use WindstormLabs/translate-run-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-run-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-run-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-run-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35f09910d1ed8cd6514c9e4683a9ea165539b9401569253139394246128efac4
- Size of remote file:
- 77.8 MB
- SHA256:
- b345a06768e08b4ce9a35e12afdb0c3c2febf3094b2e9186b31896e5cf8c1cf2
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