Instructions to use WindyWord/translate-es-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-lua 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-es-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-lua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25b69a753064c0a8221f60117c2cc0e57f9110ee99fe012c675f60f20710cc38
- Size of remote file:
- 77.4 MB
- SHA256:
- 73f859af2100f98604d4bba5178696e3a356a6df12fcfcf9a98eea3525a273a3
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