Instructions to use WindyWord/translate-sv-lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-lg 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-sv-lg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-lg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1958f009da0ed9f913a493677d3bc864d1e83019a4d77617a0a3e0f34bfd61b
- Size of remote file:
- 847 kB
- SHA256:
- d26b569107d497b3770b1b7737db5b5e7eaad447885d0dceb5b6f1cce414a187
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