Instructions to use WindstormLabs/translate-lua-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-lua-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lua-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23b556bcf58688f995d80205710d9a93e73bf1f59fdd76fa7d07efb62b5efaa1
- Size of remote file:
- 300 MB
- SHA256:
- 21ac635f0981f027359f45a3c3de06f1bc116f636b776e150dd21a49dfe560de
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