Instructions to use WindstormLabs/translate-uk-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-uk-en 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-uk-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-uk-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52f124e665e074cdceceb3f13282058b3797a34b631834ae74ad5311a10b4309
- Size of remote file:
- 77.8 MB
- SHA256:
- 7cb95d5932e1d6061ee17f00ef30aeddd9e2f6004d5af9d308945c35dca58d8b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.