Instructions to use WindstormLabs/translate-fr-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-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-fr-uk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-uk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf719fbbe05a389e42de2302313aab12dc3ebd52efd593a620c067a8d8bcc223
- Size of remote file:
- 78 MB
- SHA256:
- 3320ad2592b0cf8c73cee512d93cfedee9cb39753a9c6bcda217f9fb92fa3ebd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.