Wizmodel
Platform for simplified ML model deployment, scaling, and inference via a unified API.
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WizModel is a platform designed to simplify the deployment and scaling of machine learning models. It provides a unified API for ML inference, allowing users to run models without extensive coding. WizModel offers tools like Cog2 to package models into production-ready containers and automatically generates scalable API servers, handling dependencies, GPU configurations, and scaling. It also allows users to explore and use thousands of pre-existing models shared by the community.
To use WizModel, you can either utilize pre-existing models through their API or deploy your own models using Cog2. For deploying your own models, you define the environment in a cog.yaml file, specify prediction logic in a predict.py file, and then use Cog2 commands to build, push, and run the model. You can also use their AI tool to generate the cog.yaml file. Finally, you can call the REST API with Python to run the model in the cloud.
Choose this if you're after a model that’s smart and adaptable, ready to tackle different tasks with ease. It’s built to be flexible, so you can count on it in various situations.
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