Object Detection
Transformers
Safetensors
surgical-video
spatio-temporal-grounding
medical-vision-language-model
eccv-2026
Instructions to use linzher/RefineRank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linzher/RefineRank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="linzher/RefineRank")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("linzher/RefineRank", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and paper link
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag: object-detection to the YAML metadata so the model is correctly categorized on the Hugging Face Hub. It also adds a direct link to the paper page (https://huggingface.co/papers/2608.23928) in the model card content for easy reference.
linzher changed pull request status to merged