Instructions to use WindstormLabs/translate-lt-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lt-tr 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-lt-tr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lt-tr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbb7719b15abe208b3563cf1e22dc37fae224a3dadef597b687612d1987bc379
- Size of remote file:
- 77.7 MB
- SHA256:
- fd7d1ae83c8ba7657b40254405ffab93934ff1b1e759d5ed25bae919afab5e3b
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