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jshhhh
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PathReasoner-R1

Image-Text-to-Text
Transformers
Safetensors
English
medical
pathology
vision-language
reasoning
multimodal
vlm
Model card Files
xet
 Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="jshhhh/PathReasoner-R1")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("jshhhh/PathReasoner-R1", dtype="auto")
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PathReasoner-R1

Model weights for the paper PathReasoner-R1: Empowering Pathology Vision Language Models with Structured Diagnostic Reasoning.

Overview

PathReasoner-R1 is a pathology vision-language model trained to perform structured diagnostic reasoning over histopathology images. The model produces step-by-step reasoning grounded in a medical knowledge graph enabling clinically valid interpretations.

Model Details

  • Base model: Qwen2.5-VL-7B
  • Training data: PathReasoner Dataset
  • Task: Pathology image understanding with structured reasoning
  • Languages: English

License

This model is released under CC BY-NC 4.0 — free for academic and research use, not for commercial use or clinical deployment.

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