Instructions to use WindstormLabs/translate-lu-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-lu-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lu-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e304383e87737ec203f5832e6ded563fb910f7d65e7ed158c0c010cd55a3e54a
- Size of remote file:
- 77.9 MB
- SHA256:
- 0266bf7342f91ffa65a901cf8073a8501e149ad71a20f20a1394dffa94ade15c
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