File size: 664 Bytes
cb8d58b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
---
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
## Citation |