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app.py
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@@ -158,7 +158,7 @@ with demo:
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<h2>Overview</h2>
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BigDL-Nano is a library in [BigDL 2.0](https://github.com/intel-analytics/BigDL) that allows the users to transparently accelerate their deep learning pipelines (including data processing, training and inference) by automatically integrating optimized libraries, best-known configurations, and software optimizations. </p>
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The video on the right shows how the user can easily accelerate their training and inference (including tracing and quantization) pipelines using BigDL-Nano with just a couple of lines of code; you may refer to our [CVPR 2022 demo paper](https://arxiv.org/abs/2204.01715) for more details.
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''')
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with gr.Column():
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gr.Video(value="data/nano_api_display.mp4")
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<h2>Overview</h2>
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BigDL-Nano is a library in [BigDL 2.0](https://github.com/intel-analytics/BigDL) that allows the users to transparently accelerate their deep learning pipelines (including data processing, training and inference) by automatically integrating optimized libraries, best-known configurations, and software optimizations. </p>
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The video on the right shows how the user can easily accelerate their training and inference (including tracing and quantization) pipelines using BigDL-Nano with just a couple of lines of code; you may refer to our [CVPR 2022 demo paper](https://arxiv.org/abs/2204.01715) for more details.
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''')
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with gr.Column():
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gr.Video(value="data/nano_api_display.mp4")
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