Instructions to use WindstormLabs/translate-de-pag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-pag 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-pag")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-pag", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96c20a56f5912ab36ab4a88a32498bbf29b706508b36d59f3919522d6c7308cf
- Size of remote file:
- 825 kB
- SHA256:
- 6e0e146417109c702b23cbfb841a2f39f6fd0acc4a72ca9a39279aa315c03aaf
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