Instructions to use WindstormLabs/translate-de-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-bcl 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-bcl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-bcl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ac4a69413c0f17c2167949d666a3d527746eb7b35b6faf381a719ae697a35f4
- Size of remote file:
- 830 kB
- SHA256:
- 492a025ceb42d8f7917628d78e4a4f34fb7f1c1b481b1955d173e35b75284f0d
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