MindSpore Hub Documents

MindSpore Hub provides pre-trained model applications in the MindSpore ecosystem.

MindSpore Hub provides the following functions:

  • Plug-and-play model loading

  • Easy-to-use transfer learning

import mindspore
import mindspore_hub as mshub
from mindspore import context

context.set_context(mode=context.GRAPH_MODE,
                    device_target="Ascend",
                    device_id=0)

model = "mindspore/ascend/0.7/googlenet_v1_cifar10"

# Initialize the number of classes based on the pre-trained model.
network = mshub.load(model, num_classes=10)
network.set_train(False)

# ...

Typical MindSpore Hub Application Scenarios

  1. Inference Validation

    Use mindspore_hub.load to load the pre-trained model with only a line of code.

  2. Transfer Learning

    After the model is loaded by using mindspore_hub.load, add an extra parameter to load only the feature extraction part of the neural network. In this way, some new layers can be easily added for transfer learning.

  3. Model Releasing

    Release the trained model to MindSpore Hub according to the specified procedure for download and use.

Installation

Guide

API References

Models