Julieduran
/

distilbert-segment-baseline

Model card Files Files and versions

inference.py

Model Overview

A nano-scale implementation of the deit architecture, built for matching tasks.

Architecture

Architecture: deit
Scale: nano
Attention: flash
Fusion strategy: co attention
Task head: matching
Activation: gelu
Normalization: batchnorm
Initialization: kaiming normal

Training

Optimizer: adamw
LR scheduler: step

Files

inference.py — main artifact of this repository

License

See the license field above.

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