eval.py
Model Overview
A huge-scale implementation of the perceiver architecture, built for generation tasks.
Architecture
- Architecture: perceiver
- Scale: huge
- Attention: grouped query
- Fusion strategy: low rank
- Task head: generation
- Activation: gelu
- Normalization: scalenorm
- Initialization: kaiming
Training
- Optimizer: sgd
- LR scheduler: linear warmup
Files
eval.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