Add MLX-converted Whisper weights
Browse files- README.md +32 -0
- config.json +13 -0
- weights.safetensors +3 -0
README.md
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---
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language:
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- fi
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license: apache-2.0
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library_name: mlx
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tags:
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- automatic-speech-recognition
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- whisper
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- mlx
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- fi
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base_model: Finnish-NLP/whisper-large-finnish-v3
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pipeline_tag: automatic-speech-recognition
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---
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# whisper-large-finnish-v3 (MLX, float16)
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MLX conversion of [Finnish-NLP/whisper-large-finnish-v3](https://huggingface.co/Finnish-NLP/whisper-large-finnish-v3) for fast inference on Apple Silicon via [mlx-whisper](https://github.com/ml-explore/mlx-examples/tree/main/whisper).
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Converted with `mlx-examples/whisper/convert.py` at `float16` precision.
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## Usage
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```bash
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pip install mlx-whisper
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mlx_whisper audio_file.mp3 --model FredrikKarlssonSpeech/whisper-large-finnish-v3-mlx
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```
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```python
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import mlx_whisper
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result = mlx_whisper.transcribe("audio_file.mp3", path_or_hf_repo="FredrikKarlssonSpeech/whisper-large-finnish-v3-mlx")
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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": 128,
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"n_audio_ctx": 1500,
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"n_audio_state": 1280,
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"n_audio_head": 20,
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"n_audio_layer": 32,
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"n_vocab": 51866,
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"n_text_ctx": 448,
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"n_text_state": 1280,
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"n_text_head": 20,
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"n_text_layer": 32,
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"model_type": "whisper"
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}
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weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6fc1fa865b266c95ffdc3da3d9e488829d0e4e107c2e93fc9eb799c2527c7067
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size 3083280590
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