# Deploy tabBench to Hugging Face Spaces

This Space is configured to appear under `google/tabfm-1.0.0-pytorch` because `README.md` includes:

```yaml
models:
  - google/tabfm-1.0.0-pytorch
```

After publishing, Hugging Face may take a short time to re-index the model page's **Spaces using this model** section.

## One-shot upload

Replace `YOUR_USERNAME` with your Hugging Face username or organization.

```bash
hf auth login
hf repo create YOUR_USERNAME/tabBench --type space --space-sdk gradio --exist-ok
hf upload YOUR_USERNAME/tabBench . . --repo-type space \
  --include app.py \
  --include README.md \
  --include requirements.txt \
  --commit-message "Launch tabBench"
```

## Suggested hardware

Start with `cpu-upgrade` for baseline-only runs. For reliable live TabFM benchmarking, use a GPU flavor such as `t4-small` or better:

```bash
hf repo create YOUR_USERNAME/tabBench --type space --space-sdk gradio --flavor t4-small --exist-ok
```