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:
- cab8b53c174737657da00a8eb949ff207cd1c1de5c041a6c222b30998396a15a
- Size of remote file:
- 864 kB
- SHA256:
- b1b0d17873fb8e0246a386ac66341244a34fd2189251cdde38fc91a5610d7fc5
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