Instructions to use WindstormLabs/translate-fi-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-uk 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-uk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-uk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ba2fd4a1a8fef44ed0e4908f6cc4a2fe0a37b3b7329bc816d021b102addd99f
- Size of remote file:
- 1.02 MB
- SHA256:
- 5a0d8289085150d283883889470d9bb8f3d54a47ade296b642c8ba191038f409
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.