Instructions to use WindstormLabs/translate-lua-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-lua-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lua-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7279aa9a9b11fbf6fbad05c378443e4e996f825c748447fa5b3e93a5ea7f23ad
- Size of remote file:
- 76.7 MB
- SHA256:
- 9e379e748898d7dbc407e53fbb8c16c86d8fca920c07af465a10d3b4787698c7
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