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Update README.md

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@@ -48,4 +48,56 @@ def hugface_upload(yun_folders, repo_id):
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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,下载速率400MB/s,上传速率60MB/s。
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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,下载速率400MB/s,上传速率60MB/s。
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+ # 在kaggle上面转存模型:
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+ - 第一步:下载文件
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+ ```notebook
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+ !apt install -y aria2
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+ !aria2c -x 16 -s 16 -c -k 1M "https://huggingface.co/AstraliteHeart/pony-diffusion-v6/resolve/main/v6.safetensors"
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+ ```
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+ - 第二步:使用上述代码的API上传
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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/working'] #kaggle的output路径
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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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+ - 第三步:等待上传完成:
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+
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64885695cd9f45eeaab57324/Qgz_RzYYRegtZfttIfrre.png)