README.md

metadata

title: t5-smaller Demo
emoji: 🤏
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.49.1
python_version: 3.12.12
app_file: app.py
models:
  - ShinpacheShimura/t5-smaller

t5-smaller Space

A small Gradio demo for ShinpacheShimura/t5-smaller.

The checkpoint currently keeps its model files in optimized-flan-t5-small, so app.py passes that directory as subfolder.

Deploy

1. On Hugging Face, select New Space.
2. Choose Gradio as the SDK.
3. Upload README.md, app.py, and requirements.txt from this folder.
4. Open Settings → Hardware and select Nvidia T4 – small or another GPU.
5. Wait for the Space to rebuild.

The demo will appear when the build finishes. Its Use via API link provides Python and JavaScript client examples automatically.

This Space uses lazy loading: the model is downloaded and loaded on the first request, not while the UI is being constructed.