Instructions to use WindstormLabs/translate-lua-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lua-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-lua-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lua-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d41b6c4257ab0cc0efd16b9ba2a99df85bec656ab1de4c585f20878ac8342b6f
- Size of remote file:
- 301 MB
- SHA256:
- 6fe96f122059fb21b88f14880e8dda86761b644eb85ec577bb5a069be981a909
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