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README.md
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# VLRM
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This repository contains the weights of BLIP-2 OPT-2.7B model fine-tuned by reinforcement learning method introduced in the paper [VLRM: Vision-Language Models act as
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Reward Models for Image Captioning](https://arxiv.
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The RL-tuned model is able to generate longer and more comprehensive descriptions with zero computational overhead compared to the original model.
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You can find other details in the [GitHub Repository](https://github.com/papermsucode).
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# Running the model
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## Option 1
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<details>
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---
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# VLRM
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This repository contains the weights of BLIP-2 OPT-2.7B model fine-tuned by reinforcement learning method introduced in the paper [VLRM: Vision-Language Models act as
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+
Reward Models for Image Captioning](https://arxiv.org/submit/5511483/view).
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The RL-tuned model is able to generate longer and more comprehensive descriptions with zero computational overhead compared to the original model.
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You can find other details in the [GitHub Repository (to be done)](https://github.com/papermsucode).
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# Running the model
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## Option 1
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<details>
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