update usage

README.md

@@ -100,11 +100,13 @@ import torch
 processor = AutoImageProcessor.from_pretrained("kubinooo/convnext-tiny-224-audio-deepfake-classification")
 model = AutoModelForImageClassification.from_pretrained("kubinooo/convnext-tiny-224-audio-deepfake-classification")
 
-image = Image.open("mel_spectrogram_image.png")
-inputs = processor(images=image, return_tensors="pt")
-outputs = model(**inputs)
-logits = outputs.logits
-predicted_class = logits.argmax(-1).item()
+image = Image.open("/path/to/your/image").convert("RGB")
+pixel_values = processor(image, return_tensors="pt").pixel_values
+with torch.no_grad():
+  outputs = model(pixel_values)
+  logits = outputs.logits
+predicted_class_idx = logits.argmax(-1).item()
+print(model.config.id2label[predicted_class_idx])
 ```
 
 ### Downstream Use