Instructions to use WindstormLabs/translate-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff882a4e4abd52bcc66e74f8a6cad60048c4e0ea9a8151062c1f683cc5031ecf
- Size of remote file:
- 803 kB
- SHA256:
- 16bebef1389a0b8ab452772c4e35b9e605e5713f8ac7baa71ca701394eaa086d
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