Instructions to use WindstormLabs/translate-fr-sn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-sn 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-sn")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-sn", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9562b11cd0c96144f25a02f57347f64924aa1c8b123e99af088b47bb2480cb2e
- Size of remote file:
- 77.9 MB
- SHA256:
- 645977e58492ff4fa137ebd25d401e43031fe8ef3d9148db1a2204e8b3adf347
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.