ModelScope Community

ModelScope CommunityBuilt by Alibaba, providingSharing, downloading, fine-tuning, and deploying AI modelsThe platform offers a range of services, supporting a wide range of developers and enterprises. It boasts rich features, such as a massive model repository, dataset center, API inference services, and private deployment solutions, making it an important component of the domestic AI model ecosystem. Users can flexibly choose appropriate pricing plans and technical support for different scenarios, quickly integrating and applying AI models.

ModelScope Community – Building a New Ecosystem for AI Models

With the rapid development of artificial intelligence,AI training modelThe production, sharing, and practical application of [technology/technology] have become a new focus in the industry. Alibaba's [business/industry/company]...ModelScope CommunityAs a next-generation AI model open platform, it is becoming the preferred choice for an increasing number of developers, researchers, and enterprises due to its unique product positioning and technological ecosystem. This article will provide a detailed report on the core competitiveness and practical value of the Moda Community from multiple dimensions, including product features, pricing plans, usage procedures, target audience, and frequently asked questions.

ModelScope Community Introduction

ModelScope CommunityDeveloped under the leadership of Alibaba DAMO Academy, the Moda community is an open-source AI large-scale model community platform dedicated to breaking down application barriers such as AI model sharing, downloading, fine-tuning, and deployment, promoting the popularization of AI technology and the improvement of the domestic ecosystem. Relying on a rich model library and one-stop service, the Moda community provides a powerful model and computing power foundation for various developers, strongly supporting the new paradigm of "AI training model as a service".

• Official website：https://www.modelscope.cn

The main functions of ModelScope community

The Moda Community has built a multi-dimensional functional system around AI model production, management, and application scenarios. Its main functions include model repository, datasets, evaluation and experience, API inference services, model fine-tuning, and private deployment, and it brings together large-scale model resources from mainstream domestic and international NLP, CV, and speech technologies.

1. Massive model repository

The platform aggregates thousands of productsAI training modelIt spans multiple fields including natural language processing, computer vision, speech recognition, and multimodal computing, and includes popular large models such as Tongyi Qianwen, Qwen, InternLM, and Bailian. All models have detailed descriptions, are easy to search, experience, and download, and can be used for scene customization and secondary development.

2. Abundant Data Centers

The Moda community gathers a massive amount of high-quality artificial intelligence datasets, including various types such as text, audio, images, videos, and industry-specific datasets, which facilitates model reproduction and customized training needs.

3. Evaluation and Experience

Each model supports online inference and performance demonstration, allowing users to experience the model's capabilities in real time, compare the performance of different models under specific tasks, and provide a reference for actual business selection.

4. API Inference Service

The platform providesAPI cloud inference capabilitiesDevelopers can achieve model inference by directly calling the API without local deployment, effectively reducing the learning curve and making it suitable for rapid integration into the backends of various applications.API documentation reference

5. Custom fine-tuning and training

The Moda community supports users in fine-tuning open-source large models for specific tasks (such as Lora/Fine-tune), and also provides computing power scheduling that connects with the Alibaba Cloud PAI platform to achieve an integrated experience of model training, automatic evaluation, and rapid deployment.

6. Private Deployment

To meet the needs of enterprise scenarios, the platform outputs complete model Docker images and documentation, facilitating model deployment in private cloud/local environments and improving data and business security.

Function List Table

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Detailed function page

ModelScope's pricing and plans

Moda Community employs a flexible pricing system, offering free trials, pay-as-you-go options, and resource package deals for individual users, developer teams, and enterprise clients, respectively.

Special Note:
– The free quota covers mainstream model experiences (including some popular large models). Once the free quota is exceeded, it will automatically switch to pay-as-you-go billing. For example, image generation services are generally billed by the number of images, while NLP is billed by the number of characters.
– Resource packages are more affordable and are a good reference for teams or businesses with stable needs.
– For specific pricing and resource specifications, please refer to the official pricing page.

How to use ModelScope?

1. Account Registration and Environment Preparation

• Register directly using your Alibaba Cloud account or mobile phone number and then access the console.
• Supports operation via web interface and Python/PIP environment; official installation is required.modelscope SDK package (see documentation)SDK Guide）。

2. Online model experience and download

• Quickly retrieve the large models you want to test from the model library page.
• Supports online inference demo input and result visualization.
• The model weights and accompanying inference code can be downloaded with one click, adapting to various environments including local and cloud.

3. API and Cloud Service Calls

• Go to the API management page to create and manage tokens and obtain your exclusive API KEY.
• It initiates requests in the backend program using a RESTful API and supports integration with SDKs in multiple languages such as Python and Java.
• See the documentation for typical usage.API documentation。

4. Fine-tuning and training process

• Select the target main model and import your training dataset.
• Configure training parameters (number of GPUs, batch size, etc.) and submit cloud training tasks with one click.
• Once training is complete, the model can be downloaded directly or pushed to the online API service.

5. Private Deployment (Enterprise)

• Refer to the Docker documentation provided by the platform to export the model as a local image.
• By configuring the environment and starting the container according to the documentation, you can safely complete the internal deployment.Detailed private deployment steps

Quick Experience Flowchart:

The target audience for ModelScope community

Moda Community is dedicated to serving the entire AI innovation community, covering multiple scenarios such as individual development, scientific research, and enterprise production.

• Developers and AI beginnersFree quotas and demo inference help you get started, and it makes it easier to port and extend open source models.
• Algorithm Engineer/Deep Learning ResearcherIt facilitates rapid experimentation, model comparison, and reproduction of experimental papers, while also supporting custom training/evaluation tasks.
• High schools, universities and AI labsSupports resources for communication, paper reproduction, and model competitions.
• Enterprise Development and Business Innovation TeamEnterprise APIs and private deployment solutions meet data security and controllability requirements.
• Software/App/Platform DevelopersAPI access lowers the barrier to model deployment, enabling rapid integration of AI capabilities for both consumers and businesses.

ModelScope's Technological Ecosystem and Community Features

1. Abundant domestic large-scale model resources

Based on Alibaba's AI platform, the Moda Community launched and continues to update the Tongyi Qianwen series, multimodal large models (such as video/audio analysis), and industry scenario large models, greatly enriching the Chinese AI ecosystem.

2. Compatible with mainstream AI training frameworks

The platform supports mainstream deep learning frameworks such as PyTorch and TensorFlow, and some models are also compatible with ONNX and Triton inference, which is beneficial for cross-platform and heterogeneous computing environments.

3. Community and Technology Exchange

• It provides official tutorials, case studies, and community discussion forums.
• We hold AI competitions, model evaluations, and collaborative development opportunities from time to time.
• Users can upload models and datasets to promote collaborative AI innovation.

Frequently Asked Questions

1. How do I use the free quota on the Moda community? What happens when I run out?

Registered users can obtain various modelsFree inference and API call quotasOnce the free quota is used up, you can choose to purchase a resource pack to continue using it, or switch to a pay-as-you-go billing model.

2. How to allocate dedicated GPUs or computing power for training ModelScope models?

The Moda community supports "one-click collaboration" with Alibaba Cloud PAI, allowing users to select the required computing power type and GPU specifications when submitting training tasks. For large-scale models, a multi-machine, multi-GPU environment can be customized. Individual users can also specify the local runtime environment; the platform does not mandate cloud-based usage.

3. What API access methods does the Moda community offer? Which mainstream programming languages does it support?

Currently, it supports RESTful standard APIs (adapted to Python/Java/Go, etc.) and has an official SDK for secondary development.

As a new force in the domestic AI ecosystemModelScope CommunityWith its massive high qualityAI training modelWith its advantages such as a complete toolchain, flexible resources, and community co-creation, Moda Community has become one of the most influential AI model platforms in China. Whether for engineering research and development, creative development, or enterprise innovation, Moda Community brings users a brand-new experience and value. In the future, with the continuous addition of more large-scale industry models and AI development tools, this platform is expected to continue to lead the trend of domestic AI innovation.

Chat endlessly with AI characters and start your own story.

Interact with a vast array of 2D and 3D characters and experience truly unlimited AI role-playing dialogue. Join now! New users receive 6000 points upon login!

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