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#!/bin/bash |
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pip install "optimum[exporters]>=1.14.1" tensorflow |
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python << END |
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from transformers import WhisperForConditionalGeneration, TFWhisperForConditionalGeneration, WhisperTokenizerFast |
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import shutil |
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# Backup generation_config.json |
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shutil.copyfile('./generation_config.json', './generation_config_backup.json') |
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print("Saving model to PyTorch...", end=" ") |
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model = WhisperForConditionalGeneration.from_pretrained("./", from_flax=True) |
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model.save_pretrained("./", safe_serialization=True) |
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model.save_pretrained("./") |
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print("Done.") |
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print("Saving model to TensorFlow...", end=" ") |
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tf_model = TFWhisperForConditionalGeneration.from_pretrained("./", from_pt=True) |
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tf_model.save_pretrained("./") |
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print("Done.") |
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# Restore the backup of generation_config.json |
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shutil.move('./generation_config_backup.json', './generation_config.json') |
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print("Saving model to ONNX...", end=" ") |
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from optimum.onnxruntime import ORTModelForSpeechSeq2Seq |
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ort_model = ORTModelForSpeechSeq2Seq.from_pretrained("./", export=True) |
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ort_model.save_pretrained("./onnx") |
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print("Done") |
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END |
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echo "Saving model to GGML (whisper.cpp)" |
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wget -O convert-h5-to-ggml.py "https://raw.githubusercontent.com/ggerganov/whisper.cpp/94aa56f19eed8b2419bc5ede6b7fda85d5ca59be/models/convert-h5-to-ggml.py" |
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mkdir -p whisper/assets |
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wget -O whisper/assets/mel_filters.npz "https://github.com/openai/whisper/raw/c5d42560760a05584c1c79546a098287e5a771eb/whisper/assets/mel_filters.npz" |
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python ./convert-h5-to-ggml.py ./ ./ ./ |
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rm ./convert-h5-to-ggml.py |
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rm -rf ./whisper |
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