初始化项目，由ModelHub XC社区提供模型

Model: Dev4285/MiniArt-2.0
Source: Original Platform

inference.py

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+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from PIL import Image
+
+def run_inference(image_path=None, prompt="Explain the reasoning behind this step-by-step."):
+    model_id = "Dev4285/MiniArt-2.0"
+    print(f"Loading {model_id}...")
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+    model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
+
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda" if torch.cuda.is_available() else "cpu")
+    outputs = model.generate(**inputs, max_new_tokens=256)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+if __name__ == "__main__":
+    result = run_inference(prompt="What is 15 * 14?")
+    print(result)