openMind Hub Client

简介

openMind Hub Client可以帮助您在不离开开发环境的情况下与社区进行交互。您可以轻松创建和管理仓库，下载和上传文件以及从模型库获取有用的模型和数据集元数据。

安装

关于openMind Hub Client的安装步骤，推荐用户参考《安装》文档，以确保顺利并正确地完成安装过程。

下载文件

例如，下载t5_small模型配置文件：

from openmind_hub import om_hub_download

om_hub_download(repo_id="PyTorch-NPU/t5_small", filename="config.json")

详见《下载指南》。

访问令牌

访问私有仓库资源、创建仓库和上传文件等场景都需要使用访问令牌（即token）才能与社区进行交互。请创建访问令牌并妥善保存，令牌内容仅会在创建时显示。

上传文件

使用upload_folder为您的仓库上传文件，示例如下：

from openmind_hub import upload_folder
upload_folder(
    repo_id="owner/repo",
    folder_path="./folder_to_upload",
    token="xxx",
)

token：对目标仓库具有可写权限的访问令牌，必选。
repo_id：文件要上传到的仓库，必选。
folder_path：要上传目录的绝对路径或相对路径，上传的内容不包含该目录本身，必选。支持字符串或Path类型，如："./folder"或Path("./folder")。

详见《上传文件》。

贡献

在提交PR之前，请确保所有测试都通过。首先在本地运行如下命令。

# The scripts below run on system default python version by default. If you want to use other python version, set the env
# PY_VERSION. For example, `PY_VERSION=3.10 ./ci/lint.sh`
# Lint check
./ci/lint.sh
# Unit test
./ci/unit_test.sh
# Functional test, Please generate the HUB_TOKEN by yourself and use it privatelly.
HUB_TOKEN=your_hub_token ./ci/functional_test.sh

当您推送或更新PR（Pull Request）后，系统将自动触发CI（持续集成）构建和测试流程。若所有CI构建和测试均顺利通过，ci-success标记将自动添加到您的PR中。然而，若出现CI故障，您可以点击CI日志链接以详细查看失败原因，并在本地进行必要的修复。一旦您完成了修复并希望重新运行CI作业，只需在PR中留下评论/recheck即可。

安全声明

为保障使用过程安全，推荐用户参考《安全声明》了解相关安全信息，进行必要的安全加固。

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openmind_hub-1.3.0.tar.gz (99.9 kB view details)

Uploaded Nov 4, 2025 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

openmind_hub-1.3.0-py3-none-any.whl (125.5 kB view details)

Uploaded Nov 4, 2025 Python 3

File details

Details for the file openmind_hub-1.3.0.tar.gz.

File metadata

Download URL: openmind_hub-1.3.0.tar.gz
Upload date: Nov 4, 2025
Size: 99.9 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.2.0 CPython/3.10.16

File hashes

Hashes for openmind_hub-1.3.0.tar.gz
Algorithm	Hash digest
SHA256	`b2c35f0c8af17fd51a6c1777452b0ad4cbf0a50b53c67a3c4ad636e552fe204b`
MD5	`2e8a50775f00ab6e6ee267a47dde7ed1`
BLAKE2b-256	`28b187c04f4af620b6f438f09f3c5540a80beda5cac168aec5ba40735438d55c`

See more details on using hashes here.

File details

Details for the file openmind_hub-1.3.0-py3-none-any.whl.

File metadata

Download URL: openmind_hub-1.3.0-py3-none-any.whl
Upload date: Nov 4, 2025
Size: 125.5 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.2.0 CPython/3.10.16

File hashes

Hashes for openmind_hub-1.3.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`ae26a521ebe0951296e1440b5142372efd22c4cfe0583357e88d95aebbfea33d`
MD5	`54e65f26878f02b27974503ac13117ee`
BLAKE2b-256	`c8652b0f2b83e05eaf6621ee98611f78265e49c71e85de4e8014c4e24fec3791`