Instructions to use WindstormLabs/translate-de-ln with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-ln 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-ln")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ln", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fd225c3e91ebe6a80637e0017b5857189e635e89508b874603aa592058f5ee4
- Size of remote file:
- 811 kB
- SHA256:
- 7722a2685e8b63e7ec927f47f35e99c487a919b89a93f6420e961c70416afe06
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.