Instructions to use WindyWord/translate-tn-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tn-fr 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="WindyWord/translate-tn-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tn-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e4888694377d42eb0a16e1d1268994c03888ff9d33e02e5acb327762fc87b18
- Size of remote file:
- 77.1 MB
- SHA256:
- 29ce4c307f104167b5fbc0555f886a973fbf69ea8af72f08eed1c6e19d3fdad7
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