Instructions to use WindyWord/translate-fr-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-lua 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-fr-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-lua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c679809e0fa7ae10fbb3013ba5786e8acf175ea616967e10ab47edaa08c5ba8
- Size of remote file:
- 77 MB
- SHA256:
- 2683a933b781d83c7972d0d7165d23b70ced2d8fbb2b97714ece4fee491e2ac9
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