Instructions to use WindyWord/translate-ru-lv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ru-lv 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="WindyWord/translate-ru-lv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ru-lv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1907c4a577a000f4e8977fe66621f021a006c9ddcae8901d1b5deee96325178
- Size of remote file:
- 1.05 MB
- SHA256:
- 314af1304eefd6f1892c62bc6522498a14aa8f8941114c0a145d37503bf2743e
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