Update README.md

README.md

@@ -163,7 +163,7 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 
 # Specify the pre-trained model ID
-model_id = "oriserve/Whisper-Hindi2Hinglish-Prime"
+model_id = "Oriserve/Whisper-Hindi2Hinglish-Prime"
 
 # Load the speech-to-text model with specified configurations
 model = AutoModelForSpeechSeq2Seq.from_pretrained(
@@ -270,7 +270,7 @@ def save_model(model, save_path):
     torch.save(pytorch_model, save_path)
 
 # Load Hugging Face model
-model_id = "oriserve/Whisper-Hindi2Hinglish-Prime"
+model_id = "Oriserve/Whisper-Hindi2Hinglish-Prime"
 model = AutoModelForSpeechSeq2Seq.from_pretrained(
     model_id, 
     low_cpu_mem_usage=True,        # Optimize memory usage