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:
- bcd196a6341158b2325c9917002eff9ba84793eae7f6ba8f410e4c352249294b
- Size of remote file:
- 850 kB
- SHA256:
- f1ddf23d8bc4f2230c80cd8eebe236df3bcfb125257712e4ac6adfec2d61f971
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