wehub-resource-sync
27 lines
1.4 KiB
Bash
Executable File
27 lines
1.4 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Download pre-converted FunASR GGUF models from Hugging Face — one command, no Python ML env.
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# ./download-funasr-model.sh sensevoice [outdir]
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# ./download-funasr-model.sh paraformer | nano | fsmn-vad
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# ASR models also pull fsmn-vad.gguf (needed for built-in --vad long-audio segmentation).
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set -euo pipefail
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usage(){ echo "usage: $0 {sensevoice|paraformer|nano|fsmn-vad} [outdir]"; exit 1; }
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[ $# -ge 1 ] || usage
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MODEL="$1"; OUT="${2:-funasr-gguf}"
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case "$MODEL" in
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sensevoice) REPO="FunAudioLLM/SenseVoiceSmall-GGUF" ;;
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paraformer) REPO="FunAudioLLM/Paraformer-GGUF" ;;
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nano) REPO="FunAudioLLM/Fun-ASR-Nano-GGUF" ;;
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fsmn-vad|vad) REPO="FunAudioLLM/fsmn-vad-GGUF" ;;
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*) usage ;;
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esac
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# huggingface_hub ships `hf` (new CLI); older versions only have `huggingface-cli` (deprecated). Use whichever exists.
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if command -v hf >/dev/null 2>&1; then HF=hf
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elif command -v huggingface-cli >/dev/null 2>&1; then HF=huggingface-cli
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else echo "need the Hugging Face CLI: pip install -U huggingface_hub"; exit 1; fi
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mkdir -p "$OUT"
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echo "downloading $REPO ..."; "$HF" download "$REPO" --include "*.gguf" --local-dir "$OUT"
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if [ "$MODEL" != "fsmn-vad" ] && [ "$MODEL" != "vad" ]; then
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echo "downloading FSMN-VAD (for --vad) ..."; "$HF" download FunAudioLLM/fsmn-vad-GGUF --include "*.gguf" --local-dir "$OUT"
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fi
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echo "done -> $OUT"; ls -1 "$OUT"/*.gguf
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