Instructions to use WindstormLabs/translate-en-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-st")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-st", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1420b5b889301882b9792553eb023e2a4d0b3e00eae974cf04a876c1190b54a6
- Size of remote file:
- 826 kB
- SHA256:
- 1d315b108868cce2c52bdd7e18ca7aa23a9f791cfba0e5e0e002d708e2adad6f
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