TypeError: 'QuantoConfig' object is not subscriptable

**While running the example code in Readme.md**
`from local_gemma import LocalGemma2ForCausalLM
from transformers import AutoTokenizer
import os

os.environ['HUGGINGFACEHUB_API_TOKEN'] = ''
os.environ['HF_TOKEN'] = ''

model = LocalGemma2ForCausalLM.from_pretrained("google/gemma-2-9b",token='')
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b")

model_inputs = tokenizer("The cat sat on the mat", return_attention_mask=True, return_tensors="pt")
generated_ids = model.generate(**model_inputs.to(model.device))

decoded_text = tokenizer.batch_decode(generated_ids)`

Kindly help

Note: I've installed quanto explicitly when prompted in a previous error

Reproduce the failure using the README.md example with LocalGemma2ForCausalLM, AutoTokenizer, and the google/gemma-2-9b model. Trace the TypeError involving QuantoConfig and verify the example completes model loading and text generation without the reported exception.

Written by the indexing model from the issue text.