Instructions to use WindstormLabs/translate-sv-af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-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-sv-af")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-af", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33c831fa44b46a95befc57e5f195c9e6770495ad2c365c7baf1c716cff2e6b76
- Size of remote file:
- 841 kB
- SHA256:
- ae4bae35e1016991bf4c8627294e67f12ad7c43ff110b184fddb4e73f64a420e
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