Instructions to use WindstormLabs/translate-en-lu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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="WindstormLabs/translate-en-lu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-lu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 639aa21ca251d95c546933a53e0d8fa8c432ce86b6b37b9e542a69423bde3565
- Size of remote file:
- 77.1 MB
- SHA256:
- 5d671121cb193e6e48f953d7ffa8f46dd7a89a02079aacd40286afa382d02d28
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