Update README.md

README.md

@@ -23,7 +23,7 @@ Model is suitable for voiceAI applications, real-time and offline.
 - **Model type**: NeMo ASR
 - **Architecture**: Conformer CTC
 - **Language**: English
-- **Training data**: CommonVoice, Gigaspeech
+- **Training data**: AI4Bharat IndicVoices Punjabi V1 and V2 dataset
 - **Performance metrics**: [Metrics]
 
 ## Usage
@@ -40,7 +40,7 @@ pip install nemo_toolkit
 import nemo.collections.asr as nemo_asr
 
 # Step 1: Load the ASR model from Hugging Face
-model_name = 'WhissleAI/stt_hi_conformer_ctc_entities_age_dialiect_intent'
+model_name = 'WhissleAI/speech-tagger_hi_ctc_meta'
 asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained(model_name)
 
 # Step 2: Provide the path to your audio file