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:
- 0dbe38e4c86928dc3cc84360d8de26fa51f15e4cfda999075989917252e169a4
- Size of remote file:
- 77.1 MB
- SHA256:
- a92d5ed0cff9aeee43af81cc1868cb6245c8e65e8b7aab9f1368c5b52e8a9107
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