Instructions to use WindstormLabs/translate-lv-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lv-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-lv-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lv-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c7b31c30b51f191d5bec8c3404bf603ee245cb50fe7df0d13e33113a9a93853
- Size of remote file:
- 853 kB
- SHA256:
- 4c0d11c73ad56fc2ab1a3d7a12f9e6de678c0c8fef8099aeaded97789a8292dc
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