Instructions to use WindstormLabs/translate-de-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-pl 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-pl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d978f0e99bb29d1645c85e0a30af7f19f276a13b371084a861002c5cebccd8b5
- Size of remote file:
- 77.2 MB
- SHA256:
- b26ad0590e2c4a051cbd886e3d5ab5ba11223513a4083e569f4439f794358ce0
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