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:
- 53135c86926c390a7eae396e10addfe470919f4901983e4bc86fff954ffdd205
- Size of remote file:
- 852 kB
- SHA256:
- 79a6864d7f6623328a461b7802b4e490699a5f952cf023f2544626fb753791fe
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