danielmdm
/

tokenizer-practice

Model card Files Files and versions

inference.py

Model Overview

A large-scale implementation of the blip architecture, built for generation tasks.

Architecture

Architecture: blip
Scale: large
Attention: flash
Fusion strategy: tucker
Task head: generation
Activation: gelu
Normalization: batchnorm
Initialization: orthogonal

Training

Optimizer: lion
LR scheduler: polynomial

Files

inference.py — main artifact of this repository

License

See the license field above.

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