A newer version of the Gradio SDK is available: 6.15.2
metadata
title: TemporalMesh Transformer Demo
emoji: 🕸️
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.25.0
app_file: app.py
pinned: true
license: mit
short_description: Dynamic graph + temporal decay + adaptive depth
tags:
- transformer
- graph-neural-network
- attention
- nlp
- efficient-inference
- adaptive-depth
- mesh-attention
- temporal-decay
- language-model
- pytorch
- visualization
- demo
TemporalMesh Transformer — Interactive Demo
Visualise dynamic graph attention, temporal decay, and per-token adaptive depth routing on any sentence.
What This Demo Shows
- Exit Gate Heatmap — which tokens freeze early vs. go deep
- Dynamic Attention Graph — how the kNN mesh evolves across layers
- Token Compute Depth — actual layers used per word