Update README.md

README.md

@@ -1,7 +1,7 @@
 
-# 1step ASR-NL for Slurp dataset
+# This speech tagger performs transcription, annotates entities, predict intent for SLURP dataset
 
-This is a NeMo ASR model fine-tuned for ASR tasks. It was trained on [dataset name] and achieves [performance metrics]. This model is suitable for [use cases].
+Model is suitable for voiceAI applications.
 
 ## Model Details
 
@@ -25,7 +25,7 @@ pip install nemo_toolkit
 import nemo.collections.asr as nemo_asr
 
 # Step 1: Load the ASR model from Hugging Face
-model_name = 'WhissleAI/1step_asr_nl_slurp'
+model_name = 'WhissleAI/speech-tagger_en_slurp-iot'
 asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained(model_name)
 
 # Step 2: Provide the path to your audio file