Instructions to use WindstormLabs/translate-efi-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-efi-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-efi-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-efi-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4257eba50eda951da51e596f438349833f54043394ff1e3c87bed1c6c6800c6
- Size of remote file:
- 76.8 MB
- SHA256:
- 5f086389a27371c9035c4a87a7b4c759634e5b7be70b2a3d582b98626cc800f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.