Average Model Cost: $0.0010

Number of Runs: 281,686

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The clip-caption-reward model is a fine-grained image captioning model that uses the CLIP reward mechanism. It generates captions for images by taking both the image and a text prompt as input. The model uses the CLIP model to encode the image and prompt into a joint embedding space, and then uses a captioning model to generate a caption based on the encoded information. The CLIP reward mechanism is used to fine-tune the model by comparing the generated caption with a target caption and providing a reward signal based on how well the generated caption matches the target caption. This process helps improve the quality and relevance of the generated captions.

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