daniel-moreno
/

mobilenet-summary

cross-attention

Model card Files Files and versions

inference.py

Model Overview

A base-scale implementation of the poolformer architecture, built for matching tasks.

Architecture

Architecture: poolformer
Scale: base
Attention: standard
Fusion strategy: cross attention
Task head: matching
Activation: approx gelu
Normalization: batchnorm
Initialization: xavier

Training

Optimizer: lion
LR scheduler: cosine

Files

inference.py — main artifact of this repository

License

See the license field above.

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