mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-18 20:27:53 +00:00
83 lines
2.1 KiB
Bash
Executable File
83 lines
2.1 KiB
Bash
Executable File
#!/bin/bash
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# This script downloads Whisper model files that have already been converted to Core ML format.
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# This way you don't have to convert them yourself.
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src="https://huggingface.co/datasets/ggerganov/whisper.cpp-coreml"
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pfx="resolve/main/ggml"
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# get the path of this script
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function get_script_path() {
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if [ -x "$(command -v realpath)" ]; then
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echo "$(dirname $(realpath $0))"
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else
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local ret="$(cd -- "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P)"
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echo "$ret"
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fi
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}
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models_path="$(get_script_path)"
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# Whisper models
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models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" )
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# list available models
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function list_models {
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printf "\n"
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printf " Available models:"
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for model in "${models[@]}"; do
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printf " $model"
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done
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printf "\n\n"
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}
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if [ "$#" -ne 1 ]; then
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printf "Usage: $0 <model>\n"
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list_models
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exit 1
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fi
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model=$1
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if [[ ! " ${models[@]} " =~ " ${model} " ]]; then
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printf "Invalid model: $model\n"
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list_models
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exit 1
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fi
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# download Core ML model
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printf "Downloading Core ML model $model from '$src' ...\n"
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cd $models_path
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if [ -f "ggml-$model.mlmodel" ]; then
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printf "Model $model already exists. Skipping download.\n"
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exit 0
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fi
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if [ -x "$(command -v wget)" ]; then
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wget --quiet --show-progress -O ggml-$model.mlmodel $src/$pfx-$model.mlmodel
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elif [ -x "$(command -v curl)" ]; then
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curl -L --output ggml-$model.mlmodel $src/$pfx-$model.mlmodel
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else
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printf "Either wget or curl is required to download models.\n"
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exit 1
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fi
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if [ $? -ne 0 ]; then
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printf "Failed to download Core ML model $model \n"
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printf "Please try again later or download the original Whisper model files and convert them yourself.\n"
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exit 1
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fi
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printf "Done! Model '$model' saved in 'models/ggml-$model.mlmodel'\n"
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printf "Run the following command to compile it:\n\n"
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printf " $ xcrun coremlc compile ./models/ggml-$model.mlmodel ./models\n\n"
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printf "You can now use it like this:\n\n"
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printf " $ ./main -m models/ggml-$model.bin -f samples/jfk.wav\n"
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printf "\n"
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