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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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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 Large-v2 Swahili |
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* Description: Fine-tuned Whisper weights for speech-to-text task. |
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* Dataset: |
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- Train and validation splits for Swahili subsets of [Common Voice 11.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0). |
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- Train, validation and test splits for Swahili subsets of [Google Fleurs](https://huggingface.co/datasets/google/fleurs/). |
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* Performance: **19.887087 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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``` |
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