Instructions to use WindstormLabs/translate-lt-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lt-fr 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-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lt-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c991cf8746540475c37f5e11eaf1c1e60da2b1a0a6db5f52f2197fd5d3138df7
- Size of remote file:
- 832 kB
- SHA256:
- 88151a7ba2f9e57a99e3344966d597395d57928f5f655efa0f4c7f013e2d20f4
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