pipeline.py

Model Overview

A nano-scale implementation of the vit architecture, built for generation tasks.

Architecture

  • Architecture: vit
  • Scale: nano
  • Attention: standard
  • Fusion strategy: low rank
  • Task head: generation
  • Activation: swish
  • Normalization: scalenorm
  • Initialization: xavier

Training

  • Optimizer: adafactor
  • LR scheduler: step

Files

  • pipeline.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