Update README.md

README.md

@@ -42,6 +42,40 @@ This model was fine-tuned from a pre-trained Spanish [stt-es-citrinet-512](https
 
 You can use this model for Automatic Speech Recognition (ASR) in catalan.
 
+## How to use
+### Usage
+
+Requiered libraries:
+
+```bash
+pip install nemo_toolkit['all']
+```
+
+Clone the repository to download the model:
+
+```bash
+git clone https://huggingface.co/projecte-aina/stt-ca-citrinet-512
+```
+
+Given that `NEMO_PATH` is the path that points to the downloaded stt-ca-citrinet-512.nemo file, to do inference over a set of `.wav` files you should:
+
+```python
+# Load the model
+model = nemo_asr.models.EncDecCTCModel.restore_from(NEMO_PATH)
+
+# Create a list pointing to the audio files
+paths2audio_files = ["audio_1.wav", ..., "audio_n.wav"]
+
+
+# Fix the batch size to whatever number suits your purpose
+batch_size = 8
+
+transcriptions = model.transcribe(paths2audio_files=paths2audio_files,
+                                 batch_size=2)
+# Visualize the transcriptions
+print(transcriptions)
+
+```
 
 ## Additional information