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))