Instructions to use WindyWord/translate-lu-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lu-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-lu-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lu-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8598f86ddcf2a41f52ec42849678e22229459e423cdc853ed4932723a391b513
- Size of remote file:
- 846 kB
- SHA256:
- f00221f0e3097a649fea494f6a5ba9d891e1b0274b10cb19d8260b02030a8745
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