Instructions to use WindstormLabs/translate-fi-ts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-ts 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="WindstormLabs/translate-fi-ts")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-ts", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d4049375b1635f41fc6a71d169e89afdfe93c56751323f91c0895aef0d6fa85
- Size of remote file:
- 77.7 MB
- SHA256:
- 90831d782a131f38fdf9a9663274d70af30aa9248aba7a3c0600ba1b0268d57c
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