初始化项目，由ModelHub XC社区提供模型

Model: varuneshv/VCoder
Source: Original Platform

Run

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+Step1:
+!pip install -U transformers
+
+
+step2:
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("varuneshv/VCoder")
+
+model = AutoModelForCausalLM.from_pretrained(
+    "varuneshv/VCoder"
+)
+
+step3:
+
+model = model.to("cuda")
+
+inputs = tokenizer(
+    "write a python code to merge 3 arrays",
+    return_tensors="pt"
+).to("cuda")
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=100
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))