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Upgrade to gradio 5.4.0 + explicit launch config for HF Spaces
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A newer version of the Gradio SDK is available: 6.16.0

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metadata
title: PredictLM Playground
emoji: 🟢
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 5.4.0
python_version: '3.11'
app_file: app.py
pinned: true
license: apache-2.0
models:
  - zerooneresearch/predictlm-mini-13m
short_description: Try the 13M tabular foundation model on your own CSV.

PredictLM Playground

Upload a CSV, pick a target column, get predictions from predictlm-mini-13m — a 13M-parameter open-weight tabular foundation model (Apache-2.0).

This Space runs single-model mode (Mini only, no test-time training) for snappy responses. The full Duo + TTT recipe — 0.751 classification accuracy / 0.609 regression R² on a locked 25-dataset OpenML benchmark — runs in one Python call:

from predictlm import PredictLM
model = PredictLM.from_pretrained("zerooneresearch/predictlm-mini-13m")
preds = model.fit(X_train, y_train).predict(X_test)