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:
- 79cd1b13f42f7eb18caf66feb3573e4a3dbff4986b9f2041453244b676bd2b72
- Size of remote file:
- 299 MB
- SHA256:
- 8362ab73185f7ae0dbd0b0abf00a5b60666223c4509de963046d1ac1a3f490b1
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