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:
- fade617110a0c3132afa52055f1d9378f3b25c7b5f0b46c54eb5babbb7229acb
- Size of remote file:
- 823 kB
- SHA256:
- fcecfd05d7fc25a34c4e0dac571b372d5fd83af7f161090de17545e404d306fe
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