whisper.cpp/models/download-coreml-model.sh

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