Instructions to use WindstormLabs/translate-de-af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-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-de-af")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-af", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83b0e426b6cdb83a0e58d570f892bdce055ca2005ccfba0363bd775e0e729012
- Size of remote file:
- 76.6 MB
- SHA256:
- 568d785c77416445125d5ae34f3b01d0c008d526ad23743ff3c0b6da1e48996a
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