Instructions to use WindstormLabs/translate-de-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-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-de-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-lua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebc006964299fafdea172df8112bf23f0bbf9e2a23885e973e0dff5447a0dae4
- Size of remote file:
- 302 MB
- SHA256:
- 9efe53749f5623ce5786a1a7f8cd2f714662a6fd65e6414144cdd3fa297b0bf7
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