Zer0Fit - Zero-shot predictions, classifications, and regressions using Google ML research models running locally as a dockerized MCP

Zer0Fit is a new tool developed by an AI grad student that integrates Google's ML research models, TabFM and TimesFM, into a dockerized MCP. It offers zero-shot predictions, classifications, and regressions, functioning locally and connectable to various LLMs. The developer recently updated Zer0Fit to incorporate the new 2.5.0 version of Google TabFM, enhancing its capabilities for different use cases beyond what Jev offers.