Instructions to use WindstormLabs/translate-tr-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tr-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-tr-uk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tr-uk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fca8d4b1ab62d5deb4af69fb2490557dbb69b6b59b9f162a8e98946a28f417b2
- Size of remote file:
- 1.03 MB
- SHA256:
- 2134db4bab6fa4ee2f3f2b5f5796b69300102db3414b3aab80c93dbef3f7e791
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.