You can not select more than 25 topics
Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
mindspore-ci-bot
3160dba1c1
|
3 years ago | |
|---|---|---|
| .gitee | 3 years ago | |
| docs | 3 years ago | |
| mindspore_hub | 3 years ago | |
| mshub_res | 3 years ago | |
| tests | 3 years ago | |
| CONTRIBUTING.md | 3 years ago | |
| LICENSE | 3 years ago | |
| NOTICE | 3 years ago | |
| README.md | 3 years ago | |
| README_CN.md | 3 years ago | |
| RELEASE.md | 3 years ago | |
| build.sh | 3 years ago | |
| requirements.txt | 3 years ago | |
| setup.py | 3 years ago | |
README.md
- What Is MindSpore Hub
- Environment Requirements
- Installation
- Quickstart
- Docs
- Community
- Contributing
- Release Notes
- License
What is MindSpore Hub
MindSpore Hub is a pre-trained model application tool of the MindSpore ecosystem, serving as a channel for model developers and application developers.
- Provide model developers with a convenient and fast channel for model release and submission.
- Provide application developers with high-quality pre-trained models, and complete the work of model migration to deployment quickly using model loading and fine-tuning APIs.
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.
Features
- Flexible model loading： Access and experience pre-trained models quickly by searching models of interest on MindSpore Hub Website.
- Easy-to-use transfer learning: Achieve transfer learning in one step via MindSpore's flexbile interface.
Environment Requirements
System Requirements and Software Dependencies
| 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. |
- When the network is connected, dependency items in the
setup.pyfile are automatically downloaded during .whl package installation. In other cases, you need to manually install dependency items.
Installation
Installation for development
-
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
Binaries
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)
Quickstart
See the Quick Start to implement model loading and fine-tuning.
Docs
For more information about installation guide, tutorials and APIs, please check out the User Documentation.
Community
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.
Governance
Check out how MindSpore Open Governance works.
Communication
- MindSpore Slack - Communication platform for developers.
- IRC channel at
#mindspore(only for meeting minutes logging purpose) - Video Conference：TBD
- Mailing-list：https://mailweb.mindspore.cn/postorius/lists
Contributing
Welcome contributions. See our Contributor Wiki for more details。
Release Notes
The release notes, see our RELEASE。
License
FAQ
- What to do when
SSL: CERTIFICATE_VERIFY_FAILEDoccurs?
When you behind a proxy, it sometimes will have some ssl verification fail problems. You can add the certificate into
system to fix this problem. The fastest method is to disable python's ssl verification. Before import mindspore_hub, please add the codes.
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 Hub is a pre-trained model application tool of the MindSpore ecosystem, serving as a channel for model developers and application developers.
https://gitee.com/mindspore/hub
Markdown Python
