Instructions to use WindyWord/translate-lu-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lu-fi 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-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lu-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2a12eb5c0b364c94f8bc62f4fcc0cd2d693ac5ecad8d26cec77ced5d3871208
- Size of remote file:
- 78.2 MB
- SHA256:
- 0a39ca090f075deed676d210da9baa8b7a0ea0696353165cc66042ca16f691e3
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