metadata
license: apache-2.0
base_model:
- google/siglip-so400m-patch14-384
pipeline_tag: image-classification
Oryx-ViT
Model Summary
The Oryx-ViT model is trained on 200M data and can seamlessly and efficiently process visual inputs with arbitrary spatial sizes and temporal lengths.
- Repository: https://github.com/liuzuyan/oryx
- Languages: English, Chinese
- Paper: Coming Soon
Model Architecture
- Architecture: SigLip
- Data: a mixture of 200M data, 2 epoch
- Precision: BFloat16
Hardware & Software
- Hardware: 64 * NVIDIA Tesla A100
- Orchestration: HuggingFace Trainer
- Code: Pytorch