Instructions to use WindyWord/translate-pis-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pis-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-pis-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pis-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bb52f2bbd47bc2056d3bf0d756ed7b7ccddc2b01dd997f78673a343b2ab8ea6
- Size of remote file:
- 72 MB
- SHA256:
- 808919ac858ee1a11ae6503a41e3a84a9690d68c43b2ca05625c739ac6484cef
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