Instructions to use WindyWord/translate-fi-to with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-to 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-fi-to")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-to", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84b206bc3ea092960784b17e1b6db64c1eb125efc8ce19cd46728cda994ff57c
- Size of remote file:
- 884 kB
- SHA256:
- e187c178569b213d98ce90333e3f185046d98aadd19533459711412839ccb0ab
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