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_sources/index.rst.txt

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_sources/source/getstarted.md.txt

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<td>BERT, YOLO, ResNet, MobileNet, EfficientNet, Single-Shot Detectors (SSDs)
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<p></p>
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Today, we offer support for NLP and convolutional neural network-based computer vision models, specifically classification and object detection model types such as [the models in SparseZoo](https://sparsezoo.neuralmagic.com).
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Today, we offer support for NLP and convolutional neural network-based computer vision models, specifically classification, segmentation, and object detection model types such as [the models in SparseZoo](https://sparsezoo.neuralmagic.com).
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We are continuously exploring models to add to the SparseZoo including model architectures beyond computer vision and NLP; [Subscribe for updates](http://neuralmagic.com/subscribe).
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## Try it Out
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Not sure where to start? Here are several sparsified models with hands-on experiences you can work through, from deployment to training.
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Not sure where to start? Here are several sparsified models with hands-on experiences you can work through, from deployment to training:
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- [BERT](https://sparsezoo.neuralmagic.com/getting-started/bert) - a popular NLP model.
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- [YOLOv5](https://sparsezoo.neuralmagic.com/getting-started/yolov5) - a popular object detection network.
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- [YOLOv3](https://sparsezoo.neuralmagic.com/getting-started/yolov3) - a popular object detection network.
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- [ResNet-50](https://sparsezoo.neuralmagic.com/getting-started/resnet_v1-50) - a popular image classification network.
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- [MobileNetV1](https://sparsezoo.neuralmagic.com/getting-started/mobilenet_v1-1.0) - a popular image classification network for edge deployments.
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- [ResNet-50](https://docs.neuralmagic.com/main/source/model-pages/cv-classification-resnet50.html) - a popular image classification network.
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- [MobileNetV1](https://docs.neuralmagic.com/main/source/model-pages/cv-classification-mobilenet.html) - a popular image classification network for edge deployments.
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- [YOLOv3](https://docs.neuralmagic.com/main/source/model-pages/cv-detection-yolov3.html) - a popular object detection network.
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- [BERT](https://docs.neuralmagic.com/main/source/model-pages/nlp-bert.html) - a popular NLP model.

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genindex.html

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v0.9.0
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index.html

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and
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Slack
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</a>. We are growing the community member by member and happy to see you there.
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</a>
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. We are growing the community member by member and happy to see you there.
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To contribute to Neural Magic documentation, please:
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<p>
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Get started with
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<a class="reference external" href="https://help.github.com/en/github/writing-on-github/getting-started-with-writing-and-formatting-on-github/">
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writing and formatting on GitHub.
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writing and formatting on GitHub
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.
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To learn more about Neural Magic,
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<a class="reference external" href="https://www.neuralmagic.com/">
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check our website
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</a>.
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.
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main/.buildinfo

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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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main/_sources/source/getstarted.md.txt

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<tr>
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<p></p>
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Today, we offer support for NLP and convolutional neural network-based computer vision models, specifically classification and object detection model types such as [the models in SparseZoo](https://sparsezoo.neuralmagic.com).
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Today, we offer support for NLP and convolutional neural network-based computer vision models, specifically classification, segmentation, and object detection model types such as [the models in SparseZoo](https://sparsezoo.neuralmagic.com).
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We are continuously exploring models to add to the SparseZoo including model architectures beyond computer vision and NLP; [Subscribe for updates](http://neuralmagic.com/subscribe).
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## Try it Out
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Not sure where to start? Here are several sparsified models with hands-on experiences you can work through, from deployment to training.
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Not sure where to start? Here are several sparsified models with hands-on experiences you can work through, from deployment to training:
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- [BERT](https://sparsezoo.neuralmagic.com/getting-started/bert) - a popular NLP model.
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- [YOLOv5](https://sparsezoo.neuralmagic.com/getting-started/yolov5) - a popular object detection network.
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- [YOLOv3](https://sparsezoo.neuralmagic.com/getting-started/yolov3) - a popular object detection network.
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- [ResNet-50](https://sparsezoo.neuralmagic.com/getting-started/resnet_v1-50) - a popular image classification network.
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- [MobileNetV1](https://sparsezoo.neuralmagic.com/getting-started/mobilenet_v1-1.0) - a popular image classification network for edge deployments.
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- [ResNet-50](https://docs.neuralmagic.com/main/source/model-pages/cv-classification-resnet50.html) - a popular image classification network.
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- [MobileNetV1](https://docs.neuralmagic.com/main/source/model-pages/cv-classification-mobilenet.html) - a popular image classification network for edge deployments.
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- [YOLOv3](https://docs.neuralmagic.com/main/source/model-pages/cv-detection-yolov3.html) - a popular object detection network.
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- [BERT](https://docs.neuralmagic.com/main/source/model-pages/nlp-bert.html) - a popular NLP model.

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main/index.html

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<li><p>Submit a <a class="reference external" href="https://github.com/neuralmagic/docs/pulls/">pull request</a> with your proposed documentation changes.</p></li>
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<li><p>Get started with <a class="reference external" href="https://help.github.com/en/github/writing-on-github/getting-started-with-writing-and-formatting-on-github/">writing and formatting on GitHub</a></p></li>
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<li><p>Get started with <a class="reference external" href="https://help.github.com/en/github/writing-on-github/getting-started-with-writing-and-formatting-on-github/">writing and formatting on GitHub</a>.</p></li>
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