Automate metadata extraction for Parquet & ORC datasets (schema, outliers, contextual, skewness, semanto) with this toolkit. Compatible with Google Gemma and Meta Llama frameworks.
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Updated
May 9, 2024 - Python
Automate metadata extraction for Parquet & ORC datasets (schema, outliers, contextual, skewness, semanto) with this toolkit. Compatible with Google Gemma and Meta Llama frameworks.
AI-based learning platform. [Under Work]
The kserve-template repository offers a simple framework for deploying ML models with KServe, focusing on text generation models like Meta-Llama 3.2-1B-Instruct. It includes sample requests, deployment steps, and configurations to streamline building, testing, and deploying inference services.
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