Instructions to use facebook/PE-Core-G14-448 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PerceptionEncoder
How to use facebook/PE-Core-G14-448 with PerceptionEncoder:
# Use PE-Core models as CLIP models import core.vision_encoder.pe as pe model = pe.CLIP.from_config("facebook/PE-Core-G14-448", 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-G14-448", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add pipeline tag: image-feature-extraction
#2
by nielsr HF Staff - opened
This PR adds the pipeline_tag: image-feature-extraction to the model card metadata to better categorize the model on the Hugging Face Hub. This will improve discoverability for users looking for models suitable for image feature extraction tasks.
yes, and a feature extraction example could help as well