Update README.md

README.md

@@ -26,19 +26,23 @@ It achieves the following results on the evaluation set:
 - Loss: 0.1752
 - Wer: 54.8976
 
-## Model description
+## Usage
 
-More information needed
+```python
+from datasets import Audio, load_dataset
+from transformers import pipeline
 
-## Intended uses & limitations
+# Load a sample audio
+dataset = load_dataset("chuuhtetnaing/myanmar-speech-dataset-openslr-80")
+dataset = dataset.cast_column("audio", Audio(sampling_rate=16000))
+test_dataset = dataset['test']
+input_speech = test_dataset[42]['audio']
 
-More information needed
+pipe = pipeline(model='chuuhtetnaing/whisper-large-v3-myanmar')
 
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+output = pipe(input_speech, generate_kwargs={"language": "myanmar", "task": "transcribe"})
+print(output['text']) # ကျမ ပြည်ပ မှာ ပညာသင် တော့ စာမေးပွဲ ကို တပတ်တခါ စစ်တယ်
+```
 
 ### Training hyperparameters