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Remove BestOfNSampler class #4259

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2 changes: 0 additions & 2 deletions docs/source/_toctree.yml
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Expand Up @@ -101,8 +101,6 @@
title: Model Classes
- local: model_utils
title: Model Utilities
- local: best_of_n
title: Best of N Sampling
- local: judges
title: Judges
- local: callbacks
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65 changes: 0 additions & 65 deletions docs/source/best_of_n.md
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1 change: 0 additions & 1 deletion docs/source/example_overview.md
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Expand Up @@ -66,7 +66,6 @@ Here are also some easier-to-run colab notebooks that you can use to get started

| File | Description |
| --- | --- |
| [`examples/notebooks/best_of_n.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/best_of_n.ipynb) | This notebook demonstrates how to use the "Best of N" sampling strategy using TRL when fine-tuning your model with PPO. |
| [`examples/notebooks/gpt2-sentiment.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/gpt2-sentiment.ipynb) | This notebook demonstrates how to reproduce the GPT2 imdb sentiment tuning example on a jupyter notebook. |
| [`examples/notebooks/gpt2-control.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/gpt2-control.ipynb) | This notebook demonstrates how to reproduce the GPT2 sentiment control example on a jupyter notebook. |

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1 change: 0 additions & 1 deletion examples/notebooks/README.md
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This directory contains a collection of Jupyter notebooks that demonstrate how to use the TRL library in different applications.

- [`best_of_n.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/best_of_n.ipynb): This notebook demonstrates how to use the "Best of N" sampling strategy using TRL when fine-tuning your model with PPO.
- [`gpt2-sentiment.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/gpt2-sentiment.ipynb): This notebook demonstrates how to reproduce the GPT2 imdb sentiment tuning example on a jupyter notebook.
- [`gpt2-sentiment-control.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/gpt2-sentiment-control.ipynb): This notebook demonstrates how to reproduce the GPT2 sentiment control example on a jupyter notebook.
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