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Model Zoo

A Model Zoo is a centralized repository or collection of pre-trained machine learning models, often provided by frameworks, research institutions, or companies to facilitate AI development. It allows developers to download and use models for tasks like image classification, natural language processing, or object detection without training from scratch. This accelerates prototyping, benchmarking, and deployment by offering ready-to-use models with documented performance and configurations.

Also known as: Model Repository, Pre-trained Models Collection, AI Model Hub, Model Library, ML Zoo
🧊Why learn Model Zoo?

Developers should use a Model Zoo when they need to quickly implement AI features without the computational cost and time of training models, such as in proof-of-concept projects, educational settings, or production applications where pre-trained models suffice. It is particularly valuable for tasks like transfer learning, where models can be fine-tuned on specific datasets, or for comparing model performance across different architectures in research and development.

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