modelscope

We have hosted the application modelscope in order to run this application in our online workstations with Wine or directly.

Quick description about modelscope:

ModelScope is built upon the notion of “Model-as-a-Service” (MaaS). It seeks to bring together most advanced machine learning models from the AI community, and streamlines the process of leveraging AI models in real-world applications. The core ModelScope library open-sourced in this repository provides the interfaces and implementations that allow developers to perform model inference, training and evaluation. In particular, with rich layers of API abstraction, the ModelScope library offers unified experience to explore state-of-the-art models spanning across domains such as CV, NLP, Speech, Multi-Modality, and Scientific-computation. Model contributors of different areas can integrate models into the ModelScope ecosystem through the layered APIs, allowing easy and unified access to their models. Once integrated, model inference, fine-tuning, and evaluations can be done with only a few lines of code.

Features:

• ModelScope library also enables the necessary interactions with ModelScope backend services
• Entity lookup, version control, cache management, and many others
• Most models on ModelScope are public and can be downloaded without account registration on modelscope website
• Given an image, portrait matting (aka. background-removal) can be accomplished
• Fine-tuning and evaluation can also be done with a few more lines of code to set up training dataset and trainer
• ModelScope Library currently supports popular deep learning framework for model training and inference

Programming Language: Python.
Categories: