Instructions to use WindstormLabs/translate-es-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b09244da19a4337959e6d6ec6c21960da360f5252daa0142b4522713f3b14c6
- Size of remote file:
- 1.06 MB
- SHA256:
- 581d0ce357f10ff41e4ab32b5771068257470676ec0d555ba73f36e7e7a1c99c
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