Instructions to use WindyWord/translate-sv-lu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-lu 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-lu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-lu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82b38adde249e4135cf6ff3fa5e6e0edbf940a3679f923a20e48026b9c405e27
- Size of remote file:
- 77.8 MB
- SHA256:
- f2d5a80c532cf54f4aa7090115e7b3c085b410fdb995f0045fc88c5e4800b6f7
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