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