Instructions to use WindstormLabs/translate-ln-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ln-de 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-ln-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ln-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9af789f40dfee240e28654431cb92e49a39401a18938a717bd43b339624dd98f
- Size of remote file:
- 77.3 MB
- SHA256:
- 00ea3be07dd6c03e38a0f7b85579f7a8d932123da3bb01a9cc7aa79f9a385fc0
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