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MindSpore Hub is a pre-trained model application tool of the MindSpore ecosystem, serving as a channel for model developers and application developers.
Current pre-trained models in MindSpore Hub mainly cover four mainstream task scenarios including image classification, object detection, semantic segmentation and recommendation. You can check more models in MindSpore Hub Website.
Version | Operating System | Executable File Installation Dependencies | Source Code Compilation and Installation Dependencies |
---|---|---|---|
MindSpore Hub master | - Ubuntu 18.04 x86_64 - Ubuntu 18.04 aarch64 - EulerOS 2.8 aarch64 - EulerOS 2.5 x86_64 |
- Python 3.7.5 - MindSpore master - For details about other dependency items, see setup.py. |
Same as the executable file installation dependencies. |
setup.py
file are automatically downloaded during .whl package installation. In other cases, you need to manually install dependency items.Download source code from Gitee.
git clone https://gitee.com/mindspore/hub.git
Compile and install in MindSpore Hub directory.
cd hub
python setup.py install
Install MindSpore Hub using pip
command. hub
depends on the MindSpore version used in current environment.
Please download whl package from MindSpore Hub download page.
pip install mindspore_hub-{version}-py3-none-any.whl
Run the following command in a network-enabled environment to verify the installation.
import mindspore_hub as mshub
model = mshub.load("mindspore/ascend/0.7/googlenet_v1_cifar10", num_classes=10)
See the Loading the Model from Hub to implement model loading and fine-tuning.
For more information about installation guide, tutorials and APIs, please check out the Loading the Model from Hub and Publishing Models using MindSpore Hub.
As one part of MindSpore community, the following information in MindSpore Hub including governance, communication and contributing is consistent with the content in MindSpore community.
Check out how MindSpore Open Governance works.
#mindspore
(only for meeting minutes logging purpose)Welcome contributions. See our Contributor Wiki for more details。
The release notes, see our RELEASE。
SSL: CERTIFICATE_VERIFY_FAILED
occurs?import ssl
ssl._create_default_https_context = ssl._create_unverified_context
import mindspore_hub as mshub
model = mshub.load("mindspore/ascend/0.7/googlenet_v1_cifar10", num_classes=10)
MindSpore reimplementation of U-CSRNet
Markdown Python Shell Text C++
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》