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:
- 35d54cde2657acd0de177caa18e13c050afe5cd09615ae35c056bb792c92913b
- Size of remote file:
- 304 kB
- SHA256:
- a1a27b8675eefc36f320bb2caa1a191878204aa4a192c964cd82df11d6c1a9b7
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