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update readme
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@@ -462,7 +462,8 @@ We deploy MiniCPM-V 2.0 on end devices. The demo video is the raw screen recordi
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## Chat with Our Demo on Gradio
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We provide online and local demos powered by HuggingFace [Gradio](https://www.gradio.app/guides/quickstart), the most popular model deployment framework nowadays. It supports streaming outputs, progress bars, queuing, alerts, and other useful features.
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We provide online and local demos powered by HuggingFace [Gradio](https://github.com/gradio-app/gradio), the most popular model deployment framework nowadays. It supports streaming outputs, progress bars, queuing, alerts, and other useful features.
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### Online Demo <!-- omit in toc -->
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@@ -462,7 +462,8 @@ We deploy MiniCPM-V 2.0 on end devices. The demo video is the raw screen recordi
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## Chat with Our Demo on Gradio
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We provide online and local demos powered by HuggingFace [Gradio](https://www.gradio.app/guides/quickstart), the most popular model deployment framework nowadays. It supports streaming outputs, progress bars, queuing, alerts, and other useful features.
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We provide online and local demos powered by HuggingFace [Gradio](https://github.com/gradio-app/gradio), the most popular model deployment framework nowadays. It supports streaming outputs, progress bars, queuing, alerts, and other useful features.
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### Online Demo <!-- omit in toc -->
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@@ -657,8 +658,11 @@ Best Practices:[MiniCPM-V 1.0](https://github.com/modelscope/swift/blob/main/d
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## Model License <!-- omit in toc -->
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* This repository is released under the [Apache-2.0](https://github.com/OpenBMB/MiniCPM/blob/main/LICENSE) License.
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* The usage of MiniCPM-V model weights must strictly follow [MiniCPM Model License.md](https://github.com/OpenBMB/MiniCPM/blob/main/MiniCPM%20Model%20License.md).
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* The models and weights of MiniCPM are completely free for academic research. after filling out a ["questionnaire"](https://modelbest.feishu.cn/share/base/form/shrcnpV5ZT9EJ6xYjh3Kx0J6v8g) for registration, are also available for free commercial use.
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## Statement <!-- omit in toc -->
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@@ -472,7 +472,7 @@
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## Demo
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我们提供由 Hugging Face [Gradio](https://www.gradio.app/guides/quickstart) 支持的在线和本地 Demo。Gradio 是目前最流行的模型部署框架,支持流式输出、进度条、process bars 和其他常用功能。
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我们提供由 Hugging Face [Gradio](https://github.com/gradio-app/gradio) 支持的在线和本地 Demo。Gradio 是目前最流行的模型部署框架,支持流式输出、进度条、process bars 和其他常用功能。
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### Online Demo <!-- omit in toc -->
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