Instructions to use WindstormLabs/translate-lt-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lt-pl 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-pl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lt-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e185039e0b501e28295db645940429f214bfcb41b0090856add2dff1c1bf0346
- Size of remote file:
- 76.6 MB
- SHA256:
- 0ec09b5feb455d9914b6397b9f46f2ea8256d617319543261e91eed4505c2bdb
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