Instructions to use facebook/PE-Core-L14-336 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PerceptionEncoder
How to use facebook/PE-Core-L14-336 with PerceptionEncoder:
# Use PE-Core models as CLIP models import core.vision_encoder.pe as pe model = pe.CLIP.from_config("facebook/PE-Core-L14-336", 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-L14-336", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add pipeline tag: image-feature-extraction
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag: image-feature-extraction to the model card metadata. This tag will allow researchers to easily discover this model when searching for models capable of image feature extraction.