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Qwen2.5-ECG-7B-Finetuned
Willow-yue/Qwen2.5-ECG-7B-Finetuned
Qwen2.5-ECG-7B-Finetuned is a machine learning model from Willow-yue. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
from transformers import AutoModelForCausalLM, AutoTokenizer import torch
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At a glance
- Model type
- qwen2
- Access
- Public
- Created
- Nov 29, 2025
- Updated
- Nov 29, 2025
- SHA
- bcdc64d0
Model card
From the Hugging Face model README
from transformers import AutoModelForCausalLM, AutoTokenizer import torch
1. 指定模型 ID
model_id = "Willow-yue/Qwen2.5-ECG-7B-Finetuned"
print("正在从 HuggingFace 下载并加载模型...") tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained( model_id, device_map="auto", # 自动调用显卡 torch_dtype=torch.bfloat16 )
2. 推理测试
text = "Sinus tachycardia. Old inferior myocardial infarction." prompt = f"Extract structured findings from the ECG report.\nInput: {text}\nResponse:"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device) with torch.no_grad(): outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.01)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
- Type
- qwen2
- Created
- Nov 29, 2025
- Updated
- Nov 29, 2025