初始化项目，由ModelHub XC社区提供模型

Model: sargurun16/VCoder
Source: Original Platform

Run.txt

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+# Step 1 (Run once)
+!pip install -U transformers
+
+# Step 2
+from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
+
+# Using pipeline
+pipe = pipeline("text-generation", model="sargurun16/VCoder")
+
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+
+print(pipe(messages))
+
+# Step 3 & 4
+model_name = "sargurun16/VCoder"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+prompt = "write a python code to merge 3 arrays"
+
+inputs = tokenizer(
+    prompt,
+    return_tensors="pt"
+)
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=200
+)
+
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)