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  1. README.md +8 -3
README.md CHANGED
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  ---
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  language: sw
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  datasets:
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- - ALFFA (African Languages in the Field: speech Fundamentals and Automation) - [here](http://www.openslr.org/25/), Gamayun [here]https://gamayun.translatorswb.org/download/gamayun-5k-english-swahili/ & IWSLT [here]https://iwslt.org/2021/low-resource
 
 
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  metrics:
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  - wer
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  # Wav2Vec2-Large-XLSR-53-Swahili
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- Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Swahili using the [ALFFA](http://www.openslr.org/25/), Gamayun [here]https://gamayun.translatorswb.org/download/gamayun-5k-english-swahili/ & IWSLT [here]https://iwslt.org/2021/low-resource datasets.
 
 
 
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  When using this model, make sure that your speech input is sampled at 16kHz.
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  ## Training
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- The script used for training can be found [here]https://colab.research.google.com/drive/1_RL6TQv_Yiu_xbWXu4ycbzdCdXCqEQYU?usp=sharing
 
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  ---
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  language: sw
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  datasets:
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+ - [ALFFA](http://www.openslr.org/25)
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+ - [Gamayun](https://gamayun.translatorswb.org/download/gamayun-5k-english-swahili/)
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+ - [IWSLT](https://iwslt.org/2021/low-resource)
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  metrics:
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  - wer
 
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  # Wav2Vec2-Large-XLSR-53-Swahili
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+ Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Swahili using the following datasets:
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+ - [ALFFA](http://www.openslr.org/25/),
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+ - [Gamayun](https://gamayun.translatorswb.org/download/gamayun-5k-english-swahili/)
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+ - [IWSLT](https://iwslt.org/2021/low-resource)
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  When using this model, make sure that your speech input is sampled at 16kHz.
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  ## Training
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+ The script used for training can be found [here](https://colab.research.google.com/drive/1_RL6TQv_Yiu_xbWXu4ycbzdCdXCqEQYU?usp=sharing)