Automatic Speech Recognition
Transformers
Safetensors
French
whisper
asr
Eval Results
Inference Endpoints
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@@ -620,12 +620,12 @@ The model has been tested for both in-distribution (Common Voice 17 and Multilin
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  | Model Name | RTFx | Common Voice 17 | Multilingual Librispeech | Voxpopuli | Fleurs |
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  | :----------------: | :-----: | :-------------: | :----------------------: | :-------: | :----: |
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- | distil-large-v3-fr | 310.127 | 12.681 | 5.865 | 10.851 | 7.984 |
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  | whisper-tiny | 280.576 | 56.757 | 37.512 | 32.505 | 46.173 |
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  | whisper-base | 261.235 | 42.447 | 25.2 | 26.434 | 27.851 |
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  | whisper-small | 249.676 | 22.469 | 14.097 | 14.61 | 14.283 |
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  | whisper-medium | 170.9 | 15.432 | 9.602 | 11.92 | 9.155 |
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  | whisper-large-v3 | 150.719 | 11.024 | 4.783 | 9.948 | 5.624 |
 
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  *the above datasets correspond to test splits
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@@ -635,12 +635,13 @@ The model has been tested for both in-distribution (Common Voice 17 and Multilin
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  | Model Name | RTFx | [long-form test set](https://huggingface.co/datasets/eustlb/french-long-form-test) |
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  | :----------------: | :-----: | :--------------------------------------------------------------------------------: |
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- | distil-large-v3-fr | 169.692 | 11.385 |
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  | whisper-tiny | 125.367 | 28.277 |
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  | whisper-base | 110.139 | 19.228 |
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  | whisper-small | 83.417 | 12.467 |
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  | whisper-medium | 56.677 | 10.772 |
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  | whisper-large-v3 | 41.805 | 9.073 |
 
 
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  ### Inference speed
@@ -682,6 +683,5 @@ If you use this model, please consider citing the [Distil-Whisper paper](https:/
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  * Hugging Face 🤗 [Transformers](https://github.com/huggingface/transformers) for the model integration
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  * [Georgi Gerganov](https://huggingface.co/ggerganov) for the Whisper cpp integration
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  * [Joshua Lochner](https://huggingface.co/xenova) for the Transformers.js integration
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- * [Laurent Mazare](https://huggingface.co/lmz) for the Candle integration
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  * [Vaibhav Srivastav](https://huggingface.co/reach-vb) for Distil-Whisper distribution
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  * [Raghav Sonavane](https://huggingface.co/rsonavane/distil-whisper-large-v2-8-ls) for an early iteration of Distil-Whisper on the LibriSpeech datasets
 
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  | Model Name | RTFx | Common Voice 17 | Multilingual Librispeech | Voxpopuli | Fleurs |
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  | :----------------: | :-----: | :-------------: | :----------------------: | :-------: | :----: |
 
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  | whisper-tiny | 280.576 | 56.757 | 37.512 | 32.505 | 46.173 |
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  | whisper-base | 261.235 | 42.447 | 25.2 | 26.434 | 27.851 |
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  | whisper-small | 249.676 | 22.469 | 14.097 | 14.61 | 14.283 |
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  | whisper-medium | 170.9 | 15.432 | 9.602 | 11.92 | 9.155 |
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  | whisper-large-v3 | 150.719 | 11.024 | 4.783 | 9.948 | 5.624 |
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+ | distil-large-v3-fr | 310.127 | 12.681 | 5.865 | 10.851 | 7.984 |
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  *the above datasets correspond to test splits
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  | Model Name | RTFx | [long-form test set](https://huggingface.co/datasets/eustlb/french-long-form-test) |
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  | :----------------: | :-----: | :--------------------------------------------------------------------------------: |
 
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  | whisper-tiny | 125.367 | 28.277 |
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  | whisper-base | 110.139 | 19.228 |
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  | whisper-small | 83.417 | 12.467 |
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  | whisper-medium | 56.677 | 10.772 |
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  | whisper-large-v3 | 41.805 | 9.073 |
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+ | distil-large-v3-fr | 169.692 | 11.385 |
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+
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  ### Inference speed
 
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  * Hugging Face 🤗 [Transformers](https://github.com/huggingface/transformers) for the model integration
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  * [Georgi Gerganov](https://huggingface.co/ggerganov) for the Whisper cpp integration
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  * [Joshua Lochner](https://huggingface.co/xenova) for the Transformers.js integration
 
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  * [Vaibhav Srivastav](https://huggingface.co/reach-vb) for Distil-Whisper distribution
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  * [Raghav Sonavane](https://huggingface.co/rsonavane/distil-whisper-large-v2-8-ls) for an early iteration of Distil-Whisper on the LibriSpeech datasets