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kotoba-whisper-v1.0-ggml

Automatic Speech Recognition
Japanese
audio
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@@ -54,6 +54,11 @@ We measure the inference speed of different kotoba-whisper-v1.0 implementations
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  |audio 3 | 4.9 | 30 | 141 | |
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  |audio 4 | 5.6 | 35 | 126 | |
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  ### Quantized Model
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  To use the quantized model, download the quantized GGML weights:
 
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  |audio 3 | 4.9 | 30 | 141 | |
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  |audio 4 | 5.6 | 35 | 126 | |
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+ Scripts to re-run the experiment can be found bellow:
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+ * [whisper.cpp](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml): [https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/blob/main/benchmark.sh](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/blob/main/benchmark.sh)
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+ * [faster-whisper](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-faster): [https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-faster/blob/main/benchmark.sh](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-faster/blob/main/benchmark.sh)
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+ * [hf pipeline](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0): [https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0/blob/main/benchmark.sh](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0/blob/main/benchmark.sh)
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  ### Quantized Model
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  To use the quantized model, download the quantized GGML weights: