Instructions to use WindstormLabs/translate-no-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-no-no 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-no-no")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-no-no", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 254a72da0141133750715ead08e5c8bb8bf76e3a735376d0297195ff6dfe2e4e
- Size of remote file:
- 304 kB
- SHA256:
- e586d6a9f5f16fdca6da2d1be31637c8a0307304d90a6b41e2cf5a9ec9c2f9d1
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