Instructions to use WindyWord/translate-lu-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lu-es 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-lu-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lu-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
2668ac5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:62009bf6d2954966733b7e44c1de9cdb81935d3a2687147d5cb7138227bc620b
size 829122
|