got assertion error while loading the CodeT5+ models 16B-Instruct, 6B and 2B like this "AssertionError: Config has to be initialized with encoder and decoder config". how to solve this issue

[Tarak200]

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

checkpoint = "Salesforce/codet5p-2b"
device = "cuda" # for GPU usage or "cpu" for CPU usage

tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint,
torch_dtype=torch.float16,
trust_remote_code=True).to(device)

encoding = tokenizer("def print_hello_world():", return_tensors="pt").to(device)
encoding['decoder_input_ids'] = encoding['input_ids'].clone()
outputs = model.generate(**encoding, max_length=15)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

used the same code from huggingface, encountered the following error :
AssertionError: Config has to be initialized with encoder and decoder config, How to resolve this issue?