Robinsonbag
/

mlp-classify

Model card Files Files and versions

run.py

Model Overview

A tiny-scale implementation of the deit architecture, built for generation tasks.

Architecture

Architecture: deit
Scale: tiny
Attention: sparse
Fusion strategy: tucker
Task head: generation
Activation: approx gelu
Normalization: groupnorm
Initialization: xavier uniform

Training

Optimizer: sgd
LR scheduler: linear warmup

Files

run.py — main artifact of this repository

License

See the license field above.

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support