Instructions to use WindstormLabs/translate-tw-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tw-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="WindstormLabs/translate-tw-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tw-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ff58a660b765e7274040f2621fd5ad72d09d0e98110c57f12799b3d653f533d
- Size of remote file:
- 880 kB
- SHA256:
- 581e89f96d08b37dc64128ea002133bb3086a1d8e0dabcb37392fcc9396287f9
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