Feature Extraction
ONNX
ColPali
fastembed
colmodernvbert
vision-language
multimodal
document-retrieval
Instructions to use Qdrant/colmodernvbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use Qdrant/colmodernvbert 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
Download model_v2.onnx from Qdrant/colmodernvbert: direct link, hf CLI and curl.
- Browser
- Download file 998 MB
-
https://huggingface.co/Qdrant/colmodernvbert/resolve/main/model_v2.onnx
- Command line
-
hf download hf://Qdrant/colmodernvbert/model_v2.onnx
-
curl -L -o model_v2.onnx https://huggingface.co/Qdrant/colmodernvbert/resolve/main/model_v2.onnx
998 MB
- Xet hash:
- b22704be47e9ef043b11e754b67ae7fa0cb5b6e7b165ef070bce6a029e8b5055
- Size of remote file:
- 998 MB
- SHA256:
- c944f19c42189b490994229811a26a4f9f4a9e8b1cf6c143311055e76a311a4d
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