Update export_models.sh
Browse files- export_models.sh +60 -0
export_models.sh
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#!/bin/bash
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pip install "optimum[exporters]>=1.14.1" tensorflow
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git lfs track *.onnx*
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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("./")
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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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print("Saving model to CTranslate...", end=" ")
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ct2-transformers-converter --model . --output_dir ct2
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cp ct2/model.bin .
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cp ct2/vocabulary.json .
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cp config.json config_hf.json
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jq -s '.[0] * .[1]' ct2/config.json config_hf.json > config.json
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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/NbAiLab/nb-whisper/main/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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echo "Done"
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echo "Quantizing GGML model..."
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git clone --depth 1 https://github.com/ggerganov/whisper.cpp --branch v1.5.1
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cd whisper.cpp/
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make -j 32
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make quantize -j 32
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./quantize ../ggml-model.bin ../ggml-model-q5_0.bin q5_0
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cd ..
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rm -rf whisper.cpp
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echo "Done"
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