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:
- 89877fadc98a7b000f89a8853713e9e7ff66052d4eda0be799984f369efd4497
- Size of remote file:
- 845 kB
- SHA256:
- fe5ef5f2db7af5a24b773cc7ddaf1a064074efb1409b68b3cc10daca6029c3d1
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