from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("ly17/sa2va-26b-hard-v14", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("ly17/sa2va-26b-hard-v14", trust_remote_code=True)

Performance

Model Type: Sa2VA (Segment Anything 2 Vision Assistant)
Base Model: InternLM2-26B
Training Strategy: Hard Sample Mining SFT
Resolution: 512x512
Task: Medical vessel segmentation (coronary arteries)

This model achieved strong performance on vessel segmentation tasks with improved handling of difficult cases through hard sample mining.