Deploy Multimodal Models from Hugging Face to FriendliAI with Ease

We’re excited to announce an important expansion of our service! We've now broadened our support for Hugging Face models to include multimodal capabilities, enabling our users to leverage a wider spectrum of AI models.

Deploying and scaling these models has been a challenging task, particularly when it comes to handling high-performance inference demands. With FriendliAI’s cutting-edge technology, Hugging Face users can now deploy multimodal models to Friendli Endpoints directly from the Hugging Face Hub with just one click, ensuring high performance and low latency for even the most complex, resource-intensive tasks.

Key Features of Multimodal Support:

1. Diverse Multimodal Models from Hugging Face: We’ve integrated some of the most popular and powerful multimodal models available from Hugging Face. These models allow users to work with both textual and visual data to generate responses, process queries, and even create new media content.
2. Wide Range of Applications: Multimodal models can be used in a variety of use cases, from improving accessibility with vision-to-text and text-to-vision translation, to powering more intelligent search engines, or even generating captions for images or videos.
3. User-Friendly Interface: We’ve maintained our focus on making complex technologies accessible. Our intuitive UI ensures that integrating multimodal AI into your projects is quick and simple, with minimal configuration required.
4. Scalability and Flexibility: Whether you’re building small-scale applications or large enterprise systems, our platform supports a wide range of use cases and scales to meet your needs. You can quickly experiment with new models and fine-tune them for your specific tasks.

Accelerate Multimodal AI Inference with FriendliAI

With FriendliAI’s inference infrastructure, Hugging Face users can easily deploy these multimodal models, benefiting from top-tier performance and cost-efficiency. Whether deploying image-to-text models, building multimodal chatbots, or developing AI voice agents, FriendliAI’s scalable infrastructure provides best-in-class performance without the hassle or excessive cost of infrastructure management.

We’ve made deployment easier than ever. All you need to do is click the “Friendli Endpoints” button from the “Deploy” tab.

Once deployed, you can easily interact with your multimodal models, and also seamlessly compare responses of various models. Monitor in real-time, test, and refine with ease. With Friendli Endpoints, we take care of all the infrastructure hassles, so you can solely focus on innovating with multimodal AI.

What’s Next

We are incredibly excited about the impact of this new support for multimodal AI deployment. As always, we’re eager to see what the community will build with these new capabilities. We are committed to making it easier for everyone to develop, deploy, and scale innovative AI models—and look forward to bringing you even more exciting updates in the future.

Stay tuned for more updates, and as always, we welcome your feedback and ideas! Visit us at: https://friendli.ai/.