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Create download.sh

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  1. models/download.sh +57 -0
models/download.sh ADDED
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+ #!/bin/bash
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+
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+ # Set models and datasets to download
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+ models=(
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+ "nlpconnect/vit-gpt2-image-captioning"
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+ "lllyasviel/ControlNet"
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+ "lllyasviel/sd-controlnet-canny"
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+ "lllyasviel/sd-controlnet-depth"
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+ "lllyasviel/sd-controlnet-hed"
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+ "lllyasviel/sd-controlnet-mlsd"
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+ "lllyasviel/sd-controlnet-openpose"
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+ "lllyasviel/sd-controlnet-scribble"
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+ "lllyasviel/sd-controlnet-seg"
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+ "runwayml/stable-diffusion-v1-5"
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+ "damo-vilab/text-to-video-ms-1.7b"
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+ "microsoft/speecht5_asr"
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+ "JorisCos/DCCRNet_Libri1Mix_enhsingle_16k"
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+ "espnet/kan-bayashi_ljspeech_vits"
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+ "facebook/detr-resnet-101"
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+ "microsoft/speecht5_hifigan"
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+ "microsoft/speecht5_vc"
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+ "openai/whisper-base"
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+ "Intel/dpt-large"
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+ "facebook/detr-resnet-50-panoptic"
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+ "facebook/detr-resnet-50"
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+ "google/owlvit-base-patch32"
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+ "impira/layoutlm-document-qa"
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+ "ydshieh/vit-gpt2-coco-en"
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+ "dandelin/vilt-b32-finetuned-vqa"
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+ "lambdalabs/sd-image-variations-diffusers"
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+ "facebook/maskformer-swin-base-coco"
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+ "Intel/dpt-hybrid-midas"
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+ )
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+ datasets=("Matthijs/cmu-arctic-xvectors")
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+
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+ # Set the current directory
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+ CURRENT_DIR=$(pwd)
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+
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+ # Download models
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+ for model in "${models[@]}"; do
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+ echo "----- Downloading from https://huggingface.co/${model} -----"
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+ if [ -d "${model}" ]; then
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+ (cd "${model}" && git pull && git lfs pull)
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+ else
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+ git clone --recurse-submodules "https://huggingface.co/${model}" "${model}"
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+ fi
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+ done
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+
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+ # Download datasets
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+ for dataset in "${datasets[@]}"; do
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+ echo "----- Downloading from https://huggingface.co/datasets/${dataset} -----"
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+ if [ -d "${dataset}" ]; then
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+ (cd "${dataset}" && git pull && git lfs pull)
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+ else
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+ git clone --recurse-submodules "https://huggingface.co/datasets/${dataset}" "${dataset}"
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+ fi
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+ done