Instructions to use WindstormLabs/translate-lt-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lt-ru 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-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lt-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1b49a711097bd3fc9f0d8be2af92a7480e47c216ee708201db81362e762c557
- Size of remote file:
- 836 kB
- SHA256:
- c9349a7cae2b8c247aac428e2160a836b3186862532432e26b89e9540e167634
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