Instructions to use WindstormLabs/translate-de-pap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-pap 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-pap")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-pap", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3989b000818dedec62c58b301460011deaeb935e3e32c38fd793a1647dcef11
- Size of remote file:
- 77.1 MB
- SHA256:
- b688cc86ccbb6a7d1079a1efeaef5d5261433181a02c5f611599f5c22143ab28
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.