Chexagent 8b

🚀 CheXagent

CheXagent是一個用於胸部X光解釋的基礎模型，能助力醫療領域對胸部X光影像進行專業解讀，通過代碼調用可實現對影像的分析描述。

🚀 快速開始

基礎用法

import io

import requests
import torch
from PIL import Image
from transformers import AutoModelForCausalLM, AutoProcessor, GenerationConfig

# step 1: Setup constant
device = "cuda"
dtype = torch.float16

# step 2: Load Processor and Model
processor = AutoProcessor.from_pretrained("StanfordAIMI/CheXagent-8b", trust_remote_code=True)
generation_config = GenerationConfig.from_pretrained("StanfordAIMI/CheXagent-8b")
model = AutoModelForCausalLM.from_pretrained("StanfordAIMI/CheXagent-8b", torch_dtype=dtype, trust_remote_code=True)

# step 3: Fetch the images
image_path = "https://upload.wikimedia.org/wikipedia/commons/3/3b/Pleural_effusion-Metastatic_breast_carcinoma_Case_166_%285477628658%29.jpg"
images = [Image.open(io.BytesIO(requests.get(image_path).content)).convert("RGB")]

# step 4: Generate the Findings section
prompt = f'Describe "Airway"'
inputs = processor(images=images, text=f" USER: <s>{prompt} ASSISTANT: <s>", return_tensors="pt").to(device=device, dtype=dtype)
output = model.generate(**inputs, generation_config=generation_config)[0]
response = processor.tokenizer.decode(output, skip_special_tokens=True)

📚 詳細文檔

最新消息

• [12/15/2023]：模型已在 Hugging Face 上發佈。

相關鏈接

• 論文
• Hugging Face
• Github
• 項目

📄 許可證

引用信息

@article{chexagent-2024,
  title={CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation},
  author={Chen, Zhihong and Varma, Maya and Delbrouck, Jean-Benoit and Paschali, Magdalini and Blankemeier, Louis and Veen, Dave Van and Valanarasu, Jeya Maria Jose and Youssef, Alaa and Cohen, Joseph Paul and Reis, Eduardo Pontes and Tsai, Emily B. and Johnston, Andrew and Olsen, Cameron and Abraham, Tanishq Mathew and Gatidis, Sergios and Chaudhari, Akshay S and Langlotz, Curtis},
  journal={arXiv preprint arXiv:2401.12208},
  url={https://arxiv.org/abs/2401.12208},
  year={2024}
}