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Integrating machine learning models into your applications can significantly enhance their capabilities, offering predictive insights, automating tasks, and much more. At Inferless, we understand the importance of seamless integration, which is why we support a variety of platforms to get your models up and running with minimal effort. Here’s a brief overview of the integrations available, each integration is designed to be straightforward, requiring minimal configuration to get your models deployed and operational. Whether you’re looking to leverage pre-trained models or deploy custom solutions, Inferless has you covered.

Hugging Face

Seamlessly integrate models from Hugging Face.

GitHub (Custom Code)

Deploy your custom code directly from GitHub repositories.

File Upload

Simplify model deployment with direct file uploads to Inferless.

AWS S3

Connect and deploy models from AWS S3 buckets.

Google Cloud Buckets

Integrate with GoogleCloud Buckets for deploying models.

DockerHub

Easily deploy your Docker containers from DockerHub.

Dockerfile

Streamline your deployments with Dockerfile integrations.