Instructions to use WindyWord/translate-fr-lu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-lu 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="WindyWord/translate-fr-lu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-lu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5797c0d34d39a26a653953121cef48c21ecc06e948d40f4be69319e05eade39f
- Size of remote file:
- 77.8 MB
- SHA256:
- 7ce070abe596551ae424777b5aa8f87023625844254ec72a94367735c44a51a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.