Instructions to use WindyWord/translate-lua-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lua-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-lua-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lua-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4418c135c3a3314d26074f04c89cf8afa94c41795d51935cd4363e5c22992d2d
- Size of remote file:
- 77.9 MB
- SHA256:
- 0d7c15b395a5292c06ec474c584e2cc05c239de1a3e182b2a12a2b415f6c2c13
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