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license: apache-2.0
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---
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license: apache-2.0
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language:
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tags:
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- audio
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- automatic-speech-recognition
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base_model: openai/whisper-medium
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pipeline_tag: automatic-speech-recognition
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---
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# Whisper-medium OpenVINO IR
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Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
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of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
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for fine-tuning.
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Whisper was proposed in the paper [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356)
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by Alec Radford et al from OpenAI. The original code repository can be found [here](https://github.com/openai/whisper).
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**Disclaimer**: Content for this model card has partly been copied and pasted from [this model card](https://huggingface.co/openai/whisper-medium).
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# Model details
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Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model.
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| Model Type | Parameters | n_audio_ctx | n_audio_state | n_audio_head | n_audio_layer | n_text_ctx | n_text_state | n_text_head | n_text_layer | n_mels | n_vocab |
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|---------------------------|------------|-------------|---------------|--------------|---------------|------------|--------------|-------------|--------------|--------|---------|
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| whisper-tiny | 39 M | 1500 | 384 | 6 | 4 | 224 | 384 | 6 | 4 | 80 | 51865 |
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| whisper-base | 74 M | 1500 | 512 | 8 | 6 | 224 | 512 | 8 | 6 | 80 | 51865 |
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| whisper-small | 244 M | 1500 | 768 | 12 | 12 | 224 | 768 | 12 | 12 | 80 | 51865 |
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| **whisper-medium** | 769 M | 1500 | 1024 | 16 | 24 | 224 | 1024 | 16 | 16 | 80 | 51865 |
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| whisper-large-v1 | 1550 M | 1500 | 1280 | 20 | 32 | 224 | 1280 | 20 | 20 | 80 | 51865 |
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| whisper-large-v2 | 1550 M | 1500 | 1280 | 20 | 32 | 224 | 1280 | 20 | 20 | 80 | 51865 |
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| distil-whisper-large-v2 | 756 M | 1500 | 1280 | 20 | 32 | 224 | 1280 | 20 | 2 | 80 | 51865 |
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| whisper-large-v3 | 1550 M | 1500 | 1280 | 20 | 32 | 224 | 1280 | 20 | 20 | 128 | 51866 |
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| distil-whisper-large-v3 | 756 M | 1500 | 1280 | 20 | 32 | 224 | 1280 | 20 | 2 | 128 | 51866 |
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| whisper-large-v3-turbo | 809 M | 1500 | 1280 | 20 | 32 | 224 | 1280 | 20 | 4 | 128 | 51866 |
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