Mismatch in the dimensions length of log probabilities of Nemo ASR transcribe function and Vocab size
Hi All,
I am working on pyctcdecode integration with Nemo ASR models. However, there is a mismatch in the dimensions of the log probabilities matrix output by Nemo ASR transcribe function and the length of vocabulary size. Because of this I am unable to proceed further. Any suggestions, will be very helpful.

asr_model1 = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(model_name="stt_en_conformer_ctc_medium")

print(len(asr_model1.decoder.vocabulary)) ---> this outputs "1024"

logits = asr_model1.transcribe(["/data/manju/tamil/data/segWav/tvs_test_9976337304-in-Speaker_1-11.wav"], logprobs=True)[0]

print(logits.shape) --> This outputs " (36, 1025)". Here, it should have produced "1024" in place of "1025"

Pls suggest @titu1994  @jbalam-nv . Thanks