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:
- 26d55c6c2112e994e2be4a1ed8f405d3647c0e1adfa6c1d504442576d183745d
- Size of remote file:
- 868 kB
- SHA256:
- 2f8508bf973fb92bf357399021f319b4c17fcbbb5e179fb0860734d22d598899
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