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:
- 2630abdb456898c97f8c95b97d1e3f524253c051e397499e5c09a171d8e6d047
- Size of remote file:
- 830 kB
- SHA256:
- 55e341a98cd4a58c97a670e4576ab8e6aa28560e4b2cfcb8d77ba38744aa98e4
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