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1 change: 1 addition & 0 deletions docs/source/example_overview.md
Original file line number Diff line number Diff line change
Expand Up @@ -73,6 +73,7 @@ Scripts are maintained in the [`trl/scripts`](https://github.com/huggingface/trl
| [`examples/scripts/online_dpo.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/online_dpo.py) | This script shows how to use the [`experimental.online_dpo.OnlineDPOTrainer`] to fine-tune a model. |
| [`examples/scripts/online_dpo_vlm.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/online_dpo_vlm.py) | This script shows how to use the [`experimental.online_dpo.OnlineDPOTrainer`] to fine-tune a a Vision Language Model. |
| [`examples/scripts/orpo.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/orpo.py) | This script shows how to use the [`experimental.orpo.ORPOTrainer`] to fine-tune a model to increase helpfulness and harmlessness using the [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf) dataset. |
| [`examples/scripts/openreward/seta.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/openreward/seta.py) | This script shows how to use the [`GRPOTrainer`] to train a model against the SETA ORS environment on the openreward.ai catalog. See the [OpenReward Integration](openreward) guide for setup and usage. |
| [`examples/scripts/ppo/ppo.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/ppo/ppo.py) | This script shows how to use the [`experimental.ppo.PPOTrainer`] to fine-tune a model to improve its ability to continue text with positive sentiment or physically descriptive language. |
| [`examples/scripts/ppo/ppo_tldr.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/ppo/ppo_tldr.py) | This script shows how to use the [`experimental.ppo.PPOTrainer`] to fine-tune a model to improve its ability to generate TL;DR summaries. |
| [`examples/scripts/prm.py`](https://github.com/huggingface/trl/blob/main/examples/scripts/prm.py) | This script shows how to use the [`experimental.prm.PRMTrainer`] to fine-tune a Process-supervised Reward Model (PRM). |
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