Instructions to use facebook/PE-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PerceptionEncoder
How to use facebook/PE-Detection with PerceptionEncoder:
# Use any PE model as a vision encoder import core.vision_encoder.pe as pe model = pe.VisionTransformer.from_config("facebook/PE-Detection", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
411e07b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:45b025efb8987df326296dc046f4ecca2a486c97adf734330f37c210ba6c6064
size 7530081258
|