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distil-large-v3-fr

Automatic Speech Recognition

Inference Endpoints

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trip-fontaine commited on Jun 20

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@@ -79,7 +79,7 @@ Distil-Whisper for English Automatic Speech Recognition (ASR) was proposed in th
 This is the knowledge distilled version of OpenAI's [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3) for French ASR.
-The result is a distilled model that performs within **2% WER of [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3)** on out-of-distribution evaluation sets for both short-form and long form transcription. Moreover, it is **5.9x** faster than [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3) and **1.3** times faster than the tiniest version of whisper while being uncomparably more accurate.
 | Model                  | Params (M) | Rel. Latency | Short-Form WER | Long-Form WER |
 | :--------------------- | :--------: | :----------: | :------------: | :-----------: |

 This is the knowledge distilled version of OpenAI's [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3) for French ASR.
+The result is a distilled model that performs within **2% WER of [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3)** on out-of-distribution evaluation sets for both short-form and long form transcription. Moreover, it is **5.9x** faster than [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3) and **1.3** times faster than the tiniest version of whisper while being incomparably more accurate.
 | Model                  | Params (M) | Rel. Latency | Short-Form WER | Long-Form WER |
 | :--------------------- | :--------: | :----------: | :------------: | :-----------: |