Update README.md (#1)

- Update README.md (ec71b60876ba7ab49b386e1d90462d52152a6e08)


Co-authored-by: Nikolay <[email protected]>

README.md

@@ -44,14 +44,14 @@ model-index:
       config: Ukrainian P&C
       split: test
       args:
-        language: uk
+        language: ua
     metrics:
     - name: Test WER P&C
       type: wer
       value: 6.92
 ---
 
-# NVIDIA FastConformer-Hybrid Large (uk)
+# NVIDIA FastConformer-Hybrid Large (ua)
 
 <style>
 img {
@@ -83,7 +83,7 @@ The model is available for use in the NeMo toolkit [3], and can be used as a pre
 
 ```python
 import nemo.collections.asr as nemo_asr
-asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="nvidia/stt_uk_fastconformer_hybrid_large_pc")
+asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="nvidia/stt_ua_fastconformer_hybrid_large_pc")
 ```
 
 ### Transcribing using Python
@@ -101,14 +101,14 @@ asr_model.transcribe(['2086-149220-0033.wav'])
 Using Transducer mode inference:
 ```shell
 python [NEMO_GIT_FOLDER]/examples/asr/transcribe_speech.py 
- pretrained_name="nvidia/stt_uk_fastconformer_hybrid_large_pc" 
+ pretrained_name="nvidia/stt_ua_fastconformer_hybrid_large_pc" 
  audio_dir="<DIRECTORY CONTAINING AUDIO FILES>"
 ```
 
 Using CTC mode inference:
 ```shell
 python [NEMO_GIT_FOLDER]/examples/asr/transcribe_speech.py 
- pretrained_name="nvidia/stt_uk_fastconformer_hybrid_large_pc" 
+ pretrained_name="nvidia/stt_ua_fastconformer_hybrid_large_pc" 
  audio_dir="<DIRECTORY CONTAINING AUDIO FILES>"
  decoder_type="ctc"
 ```