Instructions to use WindstormLabs/translate-et-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-et-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-et-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-et-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d7697383fd85334645909b6b10f5d5cca3e16e7078c4ad4496214d5a9d3f603
- Size of remote file:
- 820 kB
- SHA256:
- fb67d6973b1d0587f9c9f26341b3d5407bd38b6536dc1f92621a0c6fb0ccbc11
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