nvidia/Mistral-NeMo-Minitron-8B-Instruct · attention mask is not set Warning!

I am using transformers 4.46.3

from transformers import AutoTokenizer, AutoModelForCausalLM
from transformers import BitsAndBytesConfig
import torch
nf4_config = BitsAndBytesConfig(
    load_in_4bit=True,
    bnb_4bit_use_double_quant=True,
    bnb_4bit_quant_type="nf4",
    bnb_4bit_compute_dtype=torch.bfloat16)
# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(
    "nvidia/Mistral-NeMo-Minitron-8B-Instruct")
model = AutoModelForCausalLM.from_pretrained(
    "nvidia/Mistral-NeMo-Minitron-8B-Instruct", quantization_config=nf4_config)

messages = [
    {
        "role": "system",
        "content": "You are an annotator to extract verbs from sentences in english",
    },
    {"role": "user", "content": "I like pasta. I eat pasta. I enjoy football\n Based on these sentences, extract the result in a json format {{'verb':[]}}"},
    {"role": "assistant", "content": "\{'verb':[like, eat, enjoy]\}"},
    {"role": "user", "content": "I am going home. I travel to USA. I vote for election.\n Based on these sentences, extract the result in a json format {{'verb':[]}}"}

]

tokenized_chat = tokenizer.apply_chat_template(
    messages, tokenize=True, add_generation_prompt=False, return_tensors="pt")

tokenized_chat = tokenized_chat.to(model.device)

outputs = model.generate(tokenized_chat, stop_strings=[
                         "<extra_id_1>"], tokenizer=tokenizer, max_new_tokens=1024,
                         pad_token_id=tokenizer.eos_token_id
                         )
print(tokenizer.decode(outputs[0]))

I got this warning:
The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's attention_mask to obtain reliable results.