Instructions to use WindyWord/translate-pag-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pag-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-pag-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pag-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40bdcdf8ba842978959cdfe495755d366b06b8b7287d888cfc2b49632637fbe9
- Size of remote file:
- 77.4 MB
- SHA256:
- 875c1ede5f04270313c125870d11416936249d026d33ef9217939eb378d77514
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