Instructions to use WindstormLabs/translate-fr-rw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-rw 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-rw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-rw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c4191e2acb9fc230d713d851ba706de754c1e10ec34a24e4c8e748bdf2744dd
- Size of remote file:
- 815 kB
- SHA256:
- 483c3ab950ff6964c4a52e88a9eda48c92ccd74048ddb926c02e5efcc5a92dbc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.