StanfordAIMI
/

CheXagent-2-3b

@@ -3,197 +3,66 @@ library_name: transformers
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 tags: []
 ---
+<!-- markdownlint-disable first-line-h1 -->
+<!-- markdownlint-disable html -->
+<div align="center">
+<h1>
+  CheXagent
+</h1>
+</div>
+<p align="center">
+📝 <a href="https://arxiv.org/abs/2401.12208" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/StanfordAIMI/CheXagent-2-3b/" target="_blank">Hugging Face</a> • 🧩 <a href="https://github.com/Stanford-AIMI/CheXagent" target="_blank">Github</a> • 🪄 <a href="https://stanford-aimi.github.io/chexagent.html" target="_blank">Project</a>
+</p>
+<div align="center">
+</div>
+## ✨ Latest News
+- [04/29/2024]: Model released in [Hugging Face](https://huggingface.co/StanfordAIMI/CheXagent-2-3b/).
+## 🎬 Get Started
+```python
+import io
+import requests
+import torch
+from PIL import Image
+from transformers import AutoModelForCausalLM, AutoTokenizer
+# step 1: Setup constant
+model_name = "StanfordAIMI/CheXagent-2-3b"
+dtype = torch.bfloat16
+device = "cuda"
+# step 2: Load Processor and Model
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", trust_remote_code=True)
+model = model.to(dtype)
+model.eval()
+# step 3: Inference
+query = tokenizer.from_list_format([*[{'image': path} for path in paths], {'text': prompt}])
+conv = [{"from": "system", "value": "You are a helpful assistant."}, {"from": "human", "value": query}]
+input_ids = tokenizer.apply_chat_template(conv, add_generation_prompt=True, return_tensors="pt")
+output = model.generate(
+    input_ids.to(device), do_sample=False, num_beams=1, temperature=1., top_p=1., use_cache=True,
+    max_new_tokens=512
+)[0]
+response = tokenizer.decode(output[input_ids.size(1):-1])
+```
+## ✏️ Citation
+```
+@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}
+}
+```