Instructions to use WindyWord/translate-run-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-run-sv 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="WindyWord/translate-run-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-run-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1099be5a90059899510617c2920ece69a048d3044416a71681163ac67663f70
- Size of remote file:
- 77.7 MB
- SHA256:
- 62c5638ee97e7d3e0902642ac6d3e6bef719e7de70813c69cd1b82f6a01d15dc
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