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:
- 1b135cf00a703a9b4bb9572da4296bb4101ab88bc4293dbaf05835a9f7471955
- Size of remote file:
- 77.4 MB
- SHA256:
- f86d40b1165c1631fc5cc4384b88243caba0ee96c3a55abb388aeacaf581d8c4
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