Instructions to use WindstormLabs/translate-fr-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-ru 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-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1098cc6125b761c7deb109d90f60aa1853bfdfc0cdf3a8935490bc46f2271507
- Size of remote file:
- 1.06 MB
- SHA256:
- 50a16a6e7a21936d7a5cd1764c61364660353e2cebb2ed78e55b97bd74e85771
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.