Instructions to use WindstormLabs/translate-es-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-es-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-lua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cbf28d8785851e59ab6c16721131116816aa7944ebd4207328a3bdfc90d60d6
- Size of remote file:
- 845 kB
- SHA256:
- b5bf28c020a04fc922f671f5e121486cb848924b250b7ab78803dc5dd64f9a3b
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