Instructions to use WindstormLabs/translate-ss-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ss-en 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-ss-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ss-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a5c7703e7c30863ecbcea44ae3fcca28a8e4ff815d97f4c75ab52e139a630f6
- Size of remote file:
- 702 kB
- SHA256:
- 867e92ec6a55dac41467138b0f37337b5e2d090e96390918fa6e115e392f4bea
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