Instructions to use kitsunejb/colpali-qdrant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kitsunejb/colpali-qdrant with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("kitsunejb/colpali-qdrant") model = AutoModelForPreTraining.from_pretrained("kitsunejb/colpali-qdrant") - ColPali
How to use kitsunejb/colpali-qdrant with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Ctrl+K