mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-12-11 06:55:27 +00:00
915e8e399c
- Added CHiME-4 dataset integration in asr_datamodule.py - Added Hugging Face upload script - Added RIR augmentation - Added Self-Distillation Training
26 lines
845 B
Bash
Executable File
26 lines
845 B
Bash
Executable File
#!/bin/bash
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echo "허깅페이스 모델 업로드 가이드"
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echo "================================"
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echo ""
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echo "1. 허깅페이스 토큰 생성 및 로그인:"
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echo " huggingface-cli login"
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echo ""
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echo "2. 모델 업로드 실행:"
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echo " python upload_to_huggingface.py"
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echo ""
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echo "3. 필요한 정보:"
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echo " - Repository name (예: jenny/icefall-conformer-ctc-librispeech)"
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echo " - Hugging Face token (Write 권한 필요)"
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echo " - Private repository 여부"
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echo ""
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echo "4. 업로드될 파일들:"
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echo " - best-valid-loss.pt (모델 체크포인트)"
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echo " - README.md (모델 카드)"
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echo " - config.json (모델 설정)"
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echo " - inference_example.py (사용 예제)"
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echo " - requirements.txt (의존성 패키지)"
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echo ""
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echo "업로드를 시작하려면:"
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echo "python upload_to_huggingface.py"
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