Update README.md

README.md

@@ -26,7 +26,7 @@ img {
 </style>
 
 | [![Model architecture](https://img.shields.io/badge/Model_Arch-Citrinet--CTC-lightgrey#model-badge)](#model-architecture)
-| [![Model size](https://img.shields.io/badge/Params-140M-lightgrey#model-badge)](#model-architecture)
+| [![Model size](https://img.shields.io/badge/Params-141M-lightgrey#model-badge)](#model-architecture)
 | [![Language](https://img.shields.io/badge/Language-uk-lightgrey#model-badge)](#datasets)
 | [![Riva Compatible](https://img.shields.io/badge/NVIDIA%20Riva-compatible-brightgreen#model-badge)](#deployment-with-nvidia-riva) |
 
@@ -49,7 +49,7 @@ pip install nemo_toolkit['all']
 
 ```python
 import nemo.collections.asr as nemo_asr
-asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained("nvidia/stt_zh_citrinet_1024_gamma_0_25")
+asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained("nvidia/stt_uk_citrinet_1024_gamma_0_25")
 ```
 
 ### Transcribing using Python
@@ -64,7 +64,7 @@ asr_model.transcribe(['<Path of audio file(s)>'])
 
 ```shell
 python [NEMO_GIT_FOLDER]/examples/asr/transcribe_speech.py 
- pretrained_name="nvidia/stt_zh_citrinet_1024_gamma_0_25" 
+ pretrained_name="nvidia/stt_uk_citrinet_1024_gamma_0_25" 
  audio_dir="<DIRECTORY CONTAINING AUDIO FILES>"
 ```