Instructions to use WindyWord/translate-ts-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ts-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-ts-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ts-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dd2e8667f30927e5e46f963c329ff864e4c65e52ff83b74e8d58c806adcda82
- Size of remote file:
- 77.7 MB
- SHA256:
- 8d7a10e35503aa02860c28808f71177a4acc77f12c150ce824aedbe51b9721c5
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