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:
- 209fd7ff4318b44e9eb7b3495c79551ec3735544b1e3bbe355a571f2b3fc25cc
- Size of remote file:
- 77.2 MB
- SHA256:
- 9e086a87106df612cd20ccc3a9e6b08b1df4d8a1ef19ba1ace01b4171e10be98
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