Zero-shot forecasting, tabular classification, and regression via MCP — exposes Google TimesFM 2.5 and TabFM v1.0.0 to AI assistants. Just attach a CSV and describe what you want to predict.
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Updated
Jul 12, 2026 - Python
Zero-shot forecasting, tabular classification, and regression via MCP — exposes Google TimesFM 2.5 and TabFM v1.0.0 to AI assistants. Just attach a CSV and describe what you want to predict.
Independent 3-machine evaluation of Google TabFM: zero-shot accuracy vs. XGBoost, random forest, and TabPFN; high-dimensional failure analysis; four upstream bugs; and updated bf16/chunking benchmarks reaching 40K in-context rows on one RTX 4090.
Predict Palmer Penguins species with TabFM, Google's tabular foundation model — repeated random splits with accuracy and confusion-matrix reporting
Visual interface for Google TabFM and Ollama for fast, local tabular data predictions
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