Instructions to use WindstormLabs/translate-fi-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-no 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-no")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-no", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 338ae6e8e8210117ddf31f499f2129533ec328d27c5329afaaeeed07cb8455b0
- Size of remote file:
- 303 kB
- SHA256:
- da7c910811a25f5e22ec99c77d527b9d029a2660cb7963e64f02f411f0d69316
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.