Instructions to use WindstormLabs/translate-es-af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-af 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-es-af")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-af", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c35fd885d238966a5e1580e28bf9845a8c10e014c8029579e44188470fe018b6
- Size of remote file:
- 77.1 MB
- SHA256:
- 8a0a024e4ed1cd5fd58b5a3746f2f25d3358b0d3e730359683771058aa4e8e32
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