Upload README.md with huggingface_hub

README.md

@@ -86,8 +86,8 @@ This model performs **Contextualized Structured Radiology Report Generation (CSR
 - Learning rate scheduler: Cosine with 3% warmup
 - Precision: bfloat16
 - Attention implementation: Flash Attention 2
-- Max sequence length: 6144 (extended for longitudinal context)
-- Max images per sample: 1
+- Max sequence length: 4096
+- Max images per sample: 2
 
 **Hardware:**
 - GPU: NVIDIA A100 (or equivalent)
@@ -113,7 +113,7 @@ model = AutoModelForVision2Seq.from_pretrained(
 processor = AutoProcessor.from_pretrained("StanfordAIMI/CheXagent-2-3b", trust_remote_code=True)
 
 # Load chest X-ray images (current and prior studies)
-# CSRRG models support multiple images for temporal comparison (max_images_per_sample: 1)
+# CSRRG models support multiple images for temporal comparison (max_images_per_sample: 2)
 current_image = Image.open("current_xray.jpg")
 prior_image = Image.open("prior_xray.jpg")