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:
- 3a2010b44e1e16a7c59660f93267a680de762c6c4a9d4bc1c0a33870963dd6b6
- Size of remote file:
- 824 kB
- SHA256:
- 841af0642a7bf8b6994debc1cbb85f591e5c30ecfd102184eb554b80bccda177
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