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Create README.md

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+ # 关于
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+ ## 此huggingface库主要存储本人电脑的一些重要文件
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+ ## 如果无法下载文件,使用huggingface中国镜像站:hf-mirror.com
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+ ### 如果你也想要在此处永久备份文件,可以参考我的上传代码:
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+ ```python
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+ # 功能函数,清理打包上传
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+ from pathlib import Path
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+ from huggingface_hub import HfApi, login
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+
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+ repo_id = 'ACCC1380/private-model'
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+ yun_folders = ['/kaggle/input']
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+
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+
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+ def hugface_upload(yun_folders, repo_id):
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+ if 5 == 5:
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+ hugToken = '********************' #改成你的huggingface_token
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+ if hugToken != '':
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+ login(token=hugToken)
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+ api = HfApi()
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+ print("HfApi 类已实例化")
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+ print("开始上传文件...")
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+ for yun_folder in yun_folders:
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+ folder_path = Path(yun_folder)
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+ if folder_path.exists() and folder_path.is_dir():
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+ for file_in_folder in folder_path.glob('**/*'):
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+ if file_in_folder.is_file():
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+ try:
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+ response = api.upload_file(
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+ path_or_fileobj=file_in_folder,
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+ path_in_repo=str(file_in_folder.relative_to(folder_path.parent)),
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+ repo_id=repo_id,
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+ repo_type="dataset"
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+ )
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+ print("文件上传完成")
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+ print(f"响应: {response}")
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+ except Exception as e:
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+ print(f"文件 {file_in_folder} 上传失败: {e}")
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+ continue
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+ else:
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+ print(f'Error: Folder {yun_folder} does not exist')
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+ else:
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+ print(f'Error: File {huggingface_token_file} does not exist')
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+
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+ hugface_upload(yun_folders, repo_id)
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+
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+ ```
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+ ## 本地电脑需要梯子环境,上传可能很慢,可以使用kaggle等中转服务器上传,上传速率60MB/s。