Instructions to use WindyWord/translate-lua-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lua-fr 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-lua-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lua-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 022ded0f8e38d0083b301164cbea867a1897d759c4b70002e0d4a7ef96b8e58f
- Size of remote file:
- 77 MB
- SHA256:
- 2a47447068e0e94414ed088a4a5b96018d2f962f837afce6aab6c53509a81234
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