Instructions to use WindyWord/translate-af-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-af-de 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="WindyWord/translate-af-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-af-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c83d7ddc222e8c000651b1bfb655e670de99a3ca54898d9cf9d36fd214f33b0a
- Size of remote file:
- 76.3 MB
- SHA256:
- d18b62e8e77b5aaa1b90a5ef03573f28f68cbe9bb09e93ed329b78f94b42367c
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