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openai/weak-to-strong
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Set up the weak-to-strong repo and run sweep.py to train a weak model and use its labels to train a strong model on the Amazon reviews dataset.
Using the openai/weak-to-strong repo, write a script that pairs two Hugging Face models of different sizes and runs the weak-to-strong transfer learning pipeline on a science questions dataset.
Explain how to use the Jupyter notebooks in the weak-to-strong repo to visualize and compare the performance gap between weak and strong models across different datasets.
Help me adapt the weak-to-strong repo to test a custom text classification task by choosing my own weak and strong Hugging Face models.
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