Step1:
!pip install -U transformers

step2:
from transformers import pipeline

pipe = pipeline("text-generation", model="varuneshv/VCoder")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

step3:

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("varuneshv/VCoder")

model = AutoModelForCausalLM.from_pretrained(
    "varuneshv/VCoder"
)

step4:

inputs = tokenizer(
    "write a python code to merge 3 arrays",
    return_tensors="pt"
)

outputs = model.generate(
    **inputs,
    max_new_tokens=200
)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))