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  - To ensure the highest level of image understanding performance, it is recommended to include additional information such as Optical Character Recognition (OCR) results and entity recognition (Lens). The provided usage examples are written under the assumption that OCR and Lens results are available. If you input data in this format, you can expect significantly improved output quality.
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  ## vLLM
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- To speed up your inference, you can use the vLLM engine from [our repository](https://github.com/NAVER-Cloud-HyperCLOVA-X/vllm/tree/v0.9.2rc2_hyperclovax_vision_seed).
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- Make sure to switch to the `v0.9.2rc2_hyperclovax_vision_seed` branch.
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- For more details, check out the README in [our repository](https://github.com/NAVER-Cloud-HyperCLOVA-X/vllm/tree/v0.9.2rc2_hyperclovax_vision_seed).
 
 
 
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  - To ensure the highest level of image understanding performance, it is recommended to include additional information such as Optical Character Recognition (OCR) results and entity recognition (Lens). The provided usage examples are written under the assumption that OCR and Lens results are available. If you input data in this format, you can expect significantly improved output quality.
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  ## vLLM
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+ To speed up your inference, you can use the vLLM engine from [our repository](https://github.com/NAVER-Cloud-HyperCLOVA-X/vllm/tree/v0.9.2rc2_hyperclovax_vision_seed).
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+ Make sure to switch to the `v0.9.2rc2_hyperclovax_vision_seed` branch.
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+ For more details, check out the README in [our repository](https://github.com/NAVER-Cloud-HyperCLOVA-X/vllm/tree/v0.9.2rc2_hyperclovax_vision_seed).