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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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repo_id = 'ACCC1380/private-model'
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yun_folders = ['/kaggle/input']
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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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hugface_upload(yun_folders, repo_id)
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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。
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