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_sources/index.rst.txt

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_sources/source/getstarted.md.txt

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<tr>
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<td><strong>Sample Models</strong>
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</td>
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<td>BERT, YOLO, ResNet, MobileNet, EfficientNet, Single-Shot Detectors (SSDs)
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<td>BERT, YOLO, YOLACT, ResNet, MobileNet, EfficientNet, Single-Shot Detectors (SSDs)
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</td>
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<td><strong>Use Cases (Domains)</strong>
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<td>Image Classification, Object Detection, NLP
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<td>NLP, Image Classification, Image Segmentation, Object Detection
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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.

deepsparse/.buildinfo

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# Sphinx build info version 1
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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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config: 697bf4f170f78387af9c1bbf9f8b1097
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config: 15a0e09ad6966286858d752ac116ae82
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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