Instructions to use WindstormLabs/translate-lt-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lt-eo 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-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lt-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abf6ce2263e5ec9950fd1ac9d3d5a2951d7291fcc91de5ed1e9f7792345cb85d
- Size of remote file:
- 305 kB
- SHA256:
- ecd7fc2d206306d5e790eab6b2ec30c5a4b1a47b721ed21a8db8d7687955e2c7
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