Update README.md

README.md

@@ -33,14 +33,14 @@ model-index:
 # Model Description
 This model is a fine-tuned version of OpenAI's Whisper medium model, specifically optimized for the Hindi language. The fine-tuning process has led to an improvement in accuracy by 2.5% compared to the original Whisper model.
 
-Performance
+# Performance
 After fine-tuning, the model shows a 2.5% increase in transcription accuracy for Hindi language audio compared to the base Whisper medium model.
 
-How to Use
+# How to Use
 You can use this model directly with a simple API call in Hugging Face. Here is a Python code snippet for using the model:
 
-python
-Copy code
+# python
+# Copy code
 from transformers import AutoModelForCTC, Wav2Vec2Processor
 
 model = AutoModelForCTC.from_pretrained("your-username/your-model-name")
@@ -53,11 +53,10 @@ input_audio = processor(path_to_audio_file, return_tensors="pt", padding=True)
 transcription = model.generate(**input_audio)
 print("Transcription:", transcription)
 
-Citation
+# Citation
 If you use this model in your research, please cite it as follows:
 
 bibtex
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 @misc{your-model,
   author = {Your Name},
   title = {Fine-tuned Whisper Medium for Hindi Language},