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
- Xet hash:
- 18b0c4e093b4b164c32e78246ac56e46e81c2e4c8b38beb1e4eb3cce025a8d87
- Size of remote file:
- 844 kB
- SHA256:
- a282385b68b1305cc1f05bf5459aea014c4a46930cd8f2917a146822da3be89a
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