tabfm

tabfm is a Model training & evaluation skill for AI agents, published by SaschaHeyer in the gen-ai-livestream repository on GitHub. Skillspace rates tabfm C (76/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill when working with TabFM, Google's zero-shot tabular foundation model, running classification or regression on a CSV or DataFrame without training, benchmarking TabFM against XGBoost or TabICL, or debugging TabFM installation and weight loading. Covers the tabfm Python package, TabFMClassifier and TabFMRegressor, Hugging Face weight download, the PyPI loader bug, CPU dtype performance, hard model limits, and the weight license.

Grade
C
Quality
76 / 100
Safety
Passed
GitHub stars
187

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubSaschaHeyer/gen-ai-livestream

Our review

Architecture
92 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

More Model training & evaluation skills

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.