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Open-source tool to simplify ML model deployment
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Open-source tool to simplify ML model deployment_
Save your model with a single command
Stick to your training workflow
Use simple YAML file to save model metadata
Use the same human-readable format for any ML framework
Deploy your model anywhere you want
Switch between deployment providers with a single command
Make Git a Model Registry
MLEM is a core building block for a Git-based ML model registry, together with other Iterative tools, like GTO and DVC
Why MLEM_
- Git-native ML model development. Enable GitFlow and other software engineering best practices.
- Automatically detect ML framework, Python requirements, and data schema.
- Seamlessly integrating to your stack thanks to Unix philosophy: one tool solves one problem very well.
Fuente: MLEM