# oss-connector-for-ai-ml **Repository Path**: aliyun/oss-connector-for-ai-ml ## Basic Information - **Project Name**: oss-connector-for-ai-ml - **Description**: High-performance Python librarys for connecting AI/ML frameworks with OSS storage. - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-05-08 - **Last Updated**: 2025-06-23 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # OSS Connector for AI/ML [ossconnector.github.io](https://ossconnector.github.io/) ## Overview OSS Connector for AI/ML contains some high-performance Python libraries specifically designed for AI and ML scenariosis, tailored to work with [Alibaba Cloud OSS (Object Storage Service)](https://www.alibabacloud.com/en/product/object-storage-service). Currently, the OSS connector is composed of two libraries: OSS Model Connector and OSS Torch Connector. - [OSS Torch Connector](https://aliyun.github.io/oss-connector-for-ai-ml/#/torchconnector/introduction) is dedicated to AI training scenarios, including loading [datasets](https://pytorch.org/docs/stable/data.html#dataset-types) from OSS and loading/saving checkpoints from/to OSS. - [OSS Model Connector](https://aliyun.github.io/oss-connector-for-ai-ml/#/modelconnector/introduction) focuses on AI inference scenarios, loading large model files from OSS into local AI inference frameworks. The core component of the OSS Connector for AI/ML is implemented in C++ using [PhotonLibOS](https://github.com/alibaba/PhotonLibOS) and is provided as dynamic link libraries within wheel packages. This repository only contains the code of Python. For details, please refer to [ossconnector.github.io](https://ossconnector.github.io/) or [aliyun.github.io/oss-connector-for-ai-ml](https://aliyun.github.io/oss-connector-for-ai-ml). ## Related [OSS Connector for AI/ML 中文文档](https://help.aliyun.com/zh/oss/developer-reference/oss-connector-for-ai-ml) ## License This project is licensed under the terms of the [MIT License](LICENSE).