Update README.md

README.md

@@ -12,20 +12,20 @@ pipeline_tag: automatic-speech-recognition
 library_name: transformers
 ---
 how to use the model in colab:
-
+#start
 pip install torch torchaudio transformers librosa gradio
 from transformers import WhisperProcessor, WhisperForConditionalGeneration
 import torch
 
-# Load your fine-tuned Whisper model and processor
+#Load your fine-tuned Whisper model and processor
 model_name = "hackergeek98/tinyyyy_whisper"
 processor = WhisperProcessor.from_pretrained(model_name)
 model = WhisperForConditionalGeneration.from_pretrained(model_name)
 
-# Force the model to transcribe in Persian
+#Force the model to transcribe in Persian
 model.config.forced_decoder_ids = processor.get_decoder_prompt_ids(language="fa", task="transcribe")
 
-# Move model to GPU if available
+#Move model to GPU if available
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model.to(device)
 import librosa
@@ -46,10 +46,10 @@ def transcribe_audio(audio_file):
     return transcription
 from google.colab import files
 
-# Upload an audio file
+#Upload an audio file
 uploaded = files.upload()
 audio_file = list(uploaded.keys())[0]
 
-# Transcribe the audio
+#Transcribe the audio
 transcription = transcribe_audio(audio_file)
 print("Transcription:", transcription)