Instructions to use WindyWord/translate-fi-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-bcl 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-bcl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-bcl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a65d439b36898c9bebe58e2e830e733a1770327291ba33a841a06ca0b2a4002d
- Size of remote file:
- 77.9 MB
- SHA256:
- 592f12b98a5aa8b3c349ae45afcd7bcce0850544bddff0d8175ea5775c203cb3
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