Instructions to use facebook/PE-Core-S16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PerceptionEncoder
How to use facebook/PE-Core-S16-384 with PerceptionEncoder:
# Use PE-Core models as CLIP models import core.vision_encoder.pe as pe model = pe.CLIP.from_config("facebook/PE-Core-S16-384", pretrained=True)# Use any PE model as a vision encoder import core.vision_encoder.pe as pe model = pe.VisionTransformer.from_config("facebook/PE-Core-S16-384", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 911d12455b57152a04c9cdb082b3dc41c9e1add884198bad01148001a73132d5
- Size of remote file:
- 349 MB
- SHA256:
- ccc8340a14ea3ebf557a288ba4ed4a5bc026ab98bb4da42fc745d44b4c5c5ffb
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