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:
- ff112b2288596d19f46b8aa6e04e7d6fef5564f309d682cd3bad45d16c0b8e93
- Size of remote file:
- 78.5 MB
- SHA256:
- 2a041bc72a9b9860f235860d5111a6f5c666b52c82571ad3e9acc9821cf4a2a3
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