Instructions to use WindyWord/translate-lua-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lua-en 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-lua-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lua-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5d0d0529563623c905b7777aaa173f830667944703bbc07c6f7edaf99cf17bc
- Size of remote file:
- 823 kB
- SHA256:
- ca5c1f582e0347726cb87c0e021ed536a3a4a571119b24f80a8ab83dac7be802
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