Update README.md

README.md

@@ -18,7 +18,28 @@ More information needed
 More information needed
 
 ## Quickstart
-More information needed
+You can transcribe audio files using the [`pipeline`](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline) class with the following code snippet:
+```python
+import torch
+from transformers import pipeline
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
+
+lang = "th"
+task = "transcribe"
+
+pipe = pipeline(
+    task="automatic-speech-recognition",
+    model="nectec/Pathumma-whisper-th-large-v3",
+    torch_dtype=torch_dtype,
+    device=device,
+)
+pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language=lang, task=task)
+
+text = pipe("audio_path.wav")["text"]
+print(text)
+```
 
 ## Evaluation Performance
 Note: WER calculated with newmm tokenizer for Thai segmentation.