Update README.md

README.md

@@ -29,6 +29,25 @@ model-index:
       value: 12.33
       name: WER
 
+
+## Usage
+
+  In order to infer a single audio file using this model, the following code snippet can be used:
+
+```python
+>>> import torch
+>>> from transformers import pipeline
+
+>>> # path to the audio file to be transcribed
+>>> audio = "/path/to/audio.format"
+>>> device = "cuda:0" if torch.cuda.is_available() else "cpu"
+
+>>> transcribe = pipeline(task="automatic-speech-recognition", model="mananvh/LLM_GUJARATI", chunk_length_s=30, device=device)
+>>> transcribe.model.config.forced_decoder_ids = transcribe.tokenizer.get_decoder_prompt_ids(language="gu", task="transcribe")
+
+>>> print('Transcription: ', transcribe(audio)["text"])
+
+
 ## Training and evaluation data
 
 Training Data: