## Model Overview

<DESCRIBE IN ONE LINE THE MODEL AND ITS USE>

## Dependencies

To train, fine-tune or play with the model you will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). 

For inference just run:
```
pip install nemo_toolkit['all']
``` 

## How to Use this Model

The model is available for use in the NeMo toolkit, and can be used as a pre-trained checkpoint for inference or for fine-tuning on another dataset.

### Load the model weights

```python
import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.ASRModel.from_pretrained("DigitalUmuganda/mbaza_noise_robust_asr_rw_v1")
```

### Transcribing using Python

```
asr_model.transcribe(['<audio_sample>'])
```

### Transcribing many audio files

```shell
python [NEMO_GIT_FOLDER]/examples/asr/transcribe_speech.py  pretrained_name="DigitalUmuganda/multilingual_unified_tokenizer_rw_en_fr"  audio_dir="<DIRECTORY CONTAINING AUDIO FILES>"
```

### Input

This model accepts 16000 KHz Mono-channel Audio (wav files) as input.