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--- |
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language: |
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- es |
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- ca |
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license: apache-2.0 |
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--- |
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# OVOS - Whisper Large v3 Tiny Caesar |
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This model is an ONNX-format export of the model available at [projecte-aina/whisper-large-v3-tiny-caesar](https://huggingface.co/projecte-aina/whisper-large-v3-tiny-caesar), for ease of use in edge devices and CPU-based inference environments. |
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# Requirements |
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The export is based on: |
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- [optimum](https://github.com/huggingface/optimum) for exporting the model |
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- [onnx-asr](https://github.com/istupakov/onnx-asr) for inference |
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The requirements can be installed as |
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```bash |
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$ pip install optimum[onnxruntime] onnx-asr |
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``` |
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# Usage |
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```python |
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import onnx_asr |
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model = onnx_asr.load_model("OpenVoiceOS/whisper-large-v3-tiny-caesar-onnx") |
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print(model.recognize("test.wav")) |
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``` |
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# Export |
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According to [onnx-asr/convert-model-to-onnx](https://github.com/istupakov/onnx-asr?tab=readme-ov-file#convert-model-to-onnx)): |
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```bash |
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$ optimum-cli export onnx --task automatic-speech-recognition-with-past --model projecte-aina/whisper-large-v3-tiny-caesar whisper-onnx |
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$ cd whisper-onnx && rm decoder.onnx* decoder_with_past_model.onnx* # only the merged decoder is needed |
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``` |
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# Licensing |
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The license is derived from the original model: Apache 2.0. For more details, please refer to [projecte-aina/whisper-large-v3-tiny-caesar](https://huggingface.co/projecte-aina/whisper-large-v3-tiny-caesar). |
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