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# SqueezeNet

The SqueezeNet model is based on the SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size paper.

## Model builders

The following model builders can be used to instantiate a SqueezeNet model, with or without pre-trained weights. All the model builders internally rely on the `torchvision.models.squeezenet.SqueezeNet` base class. Please refer to the source code for more details about this class.

`squeezenet1_0`(*[, weights, progress]) | SqueezeNet model architecture from the SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size paper.
`squeezenet1_1`(*[, weights, progress]) | SqueezeNet 1.1 model from the official SqueezeNet repo.

## Docs

Access comprehensive developer documentation for PyTorch

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## Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

## Resources

Find development resources and get your questions answered

View Resources

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