Instructions to use WindstormLabs/translate-es-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-st 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-st")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-st", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04bc2dd3533dc13aee944114bf58e2f137a739f48acfd41b2dbb20da9877e119
- Size of remote file:
- 77.1 MB
- SHA256:
- 95af7fe266b018a192644d6eae593dc821a04a9c065e9de1ca3e0f917c1d9f84
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