N-gram Language model with Hybrid transducer CTC large. 
Hi, I am trying to use N-gram language model with Hybrid Transducer CTC large. but i am getting an error.
I loaded model using the below code.
```import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="stt_en_fastconformer_hybrid_large_pc")
```

I am following this  [https://github.com/NVIDIA/NeMo/blob/acbd88257f20e776c09f5015b8a793e1bcfa584d/tutorials/asr/Offline_ASR.ipynb](tutorial) to add language model .


```lm_path="/content/5gram_correct.arpa"

beam_search_lm = nemo_asr.modules.BeamSearchDecoderWithLM(
    vocab=list(asr_model.decoder.vocabulary),
    beam_width=16,
    alpha=1, beta=1.5,
    lm_path=lm_path,
    num_cpus=max(os.cpu_count(), 1),
    input_tensor=False)
```
but i am getting this error.

`AttributeError: 'RNNTDecoder' object has no attribute 'vocabulary'`
is there any way to use N-gram language model with Hybrid Transducer CTC large?