Instructions to use nmndeep/CLIC-CLIPA-ViT-L-14-224-PixPr-RedCaps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use nmndeep/CLIC-CLIPA-ViT-L-14-224-PixPr-RedCaps with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:nmndeep/CLIC-CLIPA-ViT-L-14-224-PixPr-RedCaps') tokenizer = open_clip.get_tokenizer('hf-hub:nmndeep/CLIC-CLIPA-ViT-L-14-224-PixPr-RedCaps') - Notebooks
- Google Colab
- Kaggle
Enhance model card with metadata, links, abstract, and citation
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card for CLIC-CLIPA-ViT-L-14-224-PixPr-RedCaps by:
- Adding essential metadata:
license: apache-2.0,library_name: open_clip,pipeline_tag: zero-shot-image-classification, and additionaltagsfor improved discoverability. - Including direct links to the paper (Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning), the project page (https://clic-compositional-clip.github.io/), and the GitHub repository (https://github.com/AmitPeleg/CLIC).
- Adding the paper's abstract to provide comprehensive context.
- Fixing the
Model Usagecode snippet by importingurlopen. - Incorporating the full BibTeX citation and acknowledgements from the GitHub repository.
These changes make the model card more informative, discoverable, and user-friendly.