Instructions to use WindyWord/translate-fi-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-hil 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-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b107dd20b25d59e5340882bccd41f37008168dfbf954c7d4383d89425764405
- Size of remote file:
- 77.5 MB
- SHA256:
- c80783268f1b8549bb29888fb19e99c8e2068055be2d44f726d6a18cab8e5b3a
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