Instructions to use WindstormLabs/translate-loz-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-loz-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-loz-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-loz-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49e34c3710b9878f505f0696a3a42cca310fab2a5db288c17ec2f8f2fded657e
- Size of remote file:
- 804 kB
- SHA256:
- a79bbc3bbc6732d0f202a498730d73236348521b8dd2c63c049cf04b4b1d826e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.