Update README.md

README.md

@@ -23,7 +23,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: vhdm/whisper-v3-turbo-persian-v1.1
+- name: vhdm/whisper-large-fa-v1
   results:
   - task:
       name: Automatic Speech Recognition
@@ -38,7 +38,7 @@ model-index:
       value: 14.065335753176045
 ---
 
-# 📢 vhdm/whisper-v3-turbo-persian-v1.1
+# 📢 vhdm/whisper-large-fa-v1
 
 🎧 **Fine-tuned Whisper Large V3 Turbo for Persian Speech Recognition**
 
@@ -132,7 +132,7 @@ You can load and test the model using 🤗 Transformers:
 ```python
 from transformers import pipeline
 
-pipe = pipeline("automatic-speech-recognition", model="vhdm/whisper-v3-turbo-persian-v1.1")
+pipe = pipeline("automatic-speech-recognition", model="vhdm/whisper-large-fa-v1")
 result = pipe("path_to_persian_audio.wav")
 print(result["text"])