Instructions to use WindyTranslate/translate-af-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-af-ru 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="WindyTranslate/translate-af-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyTranslate/translate-af-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9ebd00e52d91dea067c07fea1a4859b2ae3abb2516eca8f8660563723553776
- Size of remote file:
- 306 MB
- SHA256:
- 0fe7fd18de9500e311dfc8a1c1c27afd67a5c078b4b07c85659ace0497efb352
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