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Synaptics/mobilenet_v2-int8-torq

🤗 Hugging Face 来源apache-2.012 MBother✓ 3 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Synaptics/mobilenet_v2-int8-torq ./model-folder
需要做种者 →

MobileNet V2 224x224 Quantized

Model Overview

A quantized MobileNet V2 model with a 1.0 width multiplier optimized for image classification on ImageNet at 224x224 resolution.

The MobileNet V2 1.0 224 Quant model is developed and optimized for the Synaptics Astra™ SL2610-Series processors with Torq NPU.

Model Features

  • Model Type: Image Classification
  • Input Size: 224x224
  • Output Size: 1x1000

Deployment

The compiled model file is available for download on Huggingface at Synaptics/MobileNetV2.

Usage tutorial available at Synaptics AI Developer Zone / SL2600 / Image Classification.

License

The source model is licensed under Apache License 2.0.

The compiled model for on-device deployment is covered under the Synaptics Astra EULA.

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