model.py
Model Overview
A large-scale implementation of the deit architecture, built for classification tasks.
Architecture
- Architecture: deit
- Scale: large
- Attention: linear
- Fusion strategy: tensor fusion
- Task head: classification
- Activation: gelu tanh
- Normalization: batchnorm
- Initialization: trunc normal
Training
- Optimizer: adamw
- LR scheduler: exponential
Files
model.py— main artifact of this repository
License
See the license field above.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support