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:
- 56446b4f06e60b367cbeb539cf41974f6a79ef622b44570f9a8257198e310c82
- Size of remote file:
- 829 kB
- SHA256:
- 9af11e6180363f2c6a4da393b4e69ab69f37644b73efc7eb8c597912dd66f27a
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