Instructions to use WindstormLabs/translate-tr-lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tr-lt 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-tr-lt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tr-lt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c86c373f1f953e5ff19fc2802e94c25dd9a04cc97a95230d1baa8e160ec9482
- Size of remote file:
- 77.7 MB
- SHA256:
- 89ce57c3aca1efca745d1be636512fc78078448743c5378ac31ec23c40fd5705
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