Update README.md

README.md

@@ -28,7 +28,11 @@ datasets:
 - **Model type:** fa_FastConformers_Transducer
 - **Language(s) (NLP):** Persian
 
-### Model Sources
+## Model Architecture
+
+The model features an improved Conformer architecture from
+[Fast Conformer with Linearly Scalable Attention for Efficient
+Speech Recognition](https://arxiv.org/abs/2305.05084).
 
 ## Uses
 
@@ -42,7 +46,7 @@ print('nemo', nemo.__version__)
 import numpy as np
 import nemo.collections.asr as nemo_asr
 
-asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained(model_name="nvidia/stt_en_fastconformer_hybrid_large_streaming_multi")
+asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained(model_name="Neurai/NeuraSpeech_900h")
 asr_model.transcribe(paths2audio_files=['persian_audio.wav', ], batch_size=1)[0]
 
 ```