Instructions to use WindstormLabs/translate-rn-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-rn-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-rn-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-rn-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c54a0bfbc83499cae5a0ab635b4a9b1b0a0ccc8d9dc83381028aed5f39f07d9c
- Size of remote file:
- 302 kB
- SHA256:
- 76f01acd3cab1f4ed2d86b716b4fe5e140831e97ad82b35d780fc39266c299b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.