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Browse files- README.md +41 -0
- config.json +17 -0
- model.safetensors +3 -0
- multilingual.tiktoken +0 -0
README.md
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---
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library_name: mlx-audio-plus
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license: apache-2.0
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base_model:
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- openai/whisper-tiny
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tags:
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- mlx
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- whisper
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- speech-recognition
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- speech-to-text
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- stt
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pipeline_tag: automatic-speech-recognition
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---
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# mlx-community/whisper-tiny-8bit
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This model was converted to MLX format from [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) using [mlx-audio-plus](https://github.com/DePasqualeOrg/mlx-audio-plus) version **0.1.3**.
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## Use with mlx-audio-plus
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```bash
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pip install -U mlx-audio-plus
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```
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### Command line
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```bash
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mlx_audio.stt --model mlx-community/whisper-tiny-8bit --audio audio.mp3
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```
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### Python
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```python
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from mlx_audio.stt import transcribe
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result = transcribe(
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audio="audio.mp3",
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model="mlx-community/whisper-tiny-8bit",
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)
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print(result["text"])
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```
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config.json
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{
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"n_mels": 80,
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"n_audio_ctx": 1500,
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"n_audio_state": 384,
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"n_audio_head": 6,
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"n_audio_layer": 4,
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"n_vocab": 51865,
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"n_text_ctx": 448,
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"n_text_state": 384,
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"n_text_head": 6,
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"n_text_layer": 4,
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"quantization": {
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"group_size": 64,
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"bits": 8
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},
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"model_type": "whisper"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:17c05fb478f4424ad1737ff75bce1e709e2b36cc91f3cabd8a91929a7b1aaf2c
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size 40245180
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multilingual.tiktoken
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