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---
license: apache-2.0
language:
- sw
tags:
- hf-asr-leaderboard
- generated-from-trainer
- whisper-event
datasets:
- mozilla_foundation/common_voice_11_0
metrics:
- WER
---
## Model
* Name: Whisper Small Swahili
* Description: Whisper weights for speech-to-text task, fine-tuned and evaluated on normalized data.
* Performance: **21.934203 WER**
## Weights
* Date of release: 12.09.2022
* Size:
* License: MIT
## Usage
To use these weights in HuggingFace's `transformers` library, you can do the following:
```python
from transformers import WhisperForConditionalGeneration
model = WhisperForConditionalGeneration.from_pretrained("hedronstone/whisper-small-sw")
``` |