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:
- a3da766b8d7839d0713f3a07b435431b7991a61aed16bea6c9dbf52ca02a6461
- Size of remote file:
- 821 kB
- SHA256:
- e852342099cfac79243a4ee0184eeb426814a84bb44b0cdf50516795d696e373
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.