Visual Document Retrieval
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
reranker
rerank
listwise-reranker
multimodal
document-understanding
qwen3-vl
rankgpt
mmdocir
Instructions to use mtri-admin/ZipRerank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtri-admin/ZipRerank with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("mtri-admin/ZipRerank") model = AutoModelForImageTextToText.from_pretrained("mtri-admin/ZipRerank") - Notebooks
- Google Colab
- Kaggle
Add paper and code links to model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
This PR improves the model card for ZipRerank by adding direct links to the research paper "Very Efficient Listwise Multimodal Reranking for Long Documents" and the official GitHub repository.
Providing these links helps users easily access the technical background and the source code for the model's training framework. I have preserved the existing technical documentation and code snippets already present in the README.
Hi Niels, thanks.
dukesunmtri changed pull request status to merged