| --- |
| license: apache-2.0 |
| language: |
| - ch |
| --- |
| # 此huggingface库主要存储本人电脑的一些重要文件 |
| ## 如果无法下载文件，把下载链接的huggingface.co改成hf-mirror.com 即可 |
| ## 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： |
| ```python |
| # 功能函数，清理打包上传 |
| from pathlib import Path |
| from huggingface_hub import HfApi, login |
| |
| repo_id = 'ACCC1380/private-model' |
| yun_folders = ['/kaggle/input'] |
| |
| |
| def hugface_upload(yun_folders, repo_id): |
| if 5 == 5: |
| hugToken = '********************' #改成你的huggingface_token |
| if hugToken != '': |
| login(token=hugToken) |
| api = HfApi() |
| print("HfApi 类已实例化") |
| print("开始上传文件...") |
| for yun_folder in yun_folders: |
| folder_path = Path(yun_folder) |
| if folder_path.exists() and folder_path.is_dir(): |
| for file_in_folder in folder_path.glob('**/*'): |
| if file_in_folder.is_file(): |
| try: |
| response = api.upload_file( |
| path_or_fileobj=file_in_folder, |
| path_in_repo=str(file_in_folder.relative_to(folder_path.parent)), |
| repo_id=repo_id, |
| repo_type="dataset" |
| ) |
| print("文件上传完成") |
| print(f"响应: {response}") |
| except Exception as e: |
| print(f"文件 {file_in_folder} 上传失败: {e}") |
| continue |
| else: |
| print(f'Error: Folder {yun_folder} does not exist') |
| else: |
| print(f'Error: File {huggingface_token_file} does not exist') |
| |
| hugface_upload(yun_folders, repo_id) |
| |
| ``` |
| ## 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。 |
| # 在kaggle上面转存模型： |
| - 第一步：下载文件 |
| ```notebook |
| !apt install -y aria2 |
| !aria2c -x 16 -s 16 -c -k 1M "把下载链接填到这双引号里" -o "保存的文件名称.safetensors" |
| ``` |
| - 第二步：使用上述代码的API上传 |
| ```python |
| # 功能函数，清理打包上传 |
| from pathlib import Path |
| from huggingface_hub import HfApi, login |
| |
| repo_id = 'ACCC1380/private-model' |
| yun_folders = ['/kaggle/working'] #kaggle的output路径 |
| |
| |
| def hugface_upload(yun_folders, repo_id): |
| if 5 == 5: |
| hugToken = '********************' #改成你的huggingface_token |
| if hugToken != '': |
| login(token=hugToken) |
| api = HfApi() |
| print("HfApi 类已实例化") |
| print("开始上传文件...") |
| for yun_folder in yun_folders: |
| folder_path = Path(yun_folder) |
| if folder_path.exists() and folder_path.is_dir(): |
| for file_in_folder in folder_path.glob('**/*'): |
| if file_in_folder.is_file(): |
| try: |
| response = api.upload_file( |
| path_or_fileobj=file_in_folder, |
| path_in_repo=str(file_in_folder.relative_to(folder_path.parent)), |
| repo_id=repo_id, |
| repo_type="dataset" |
| ) |
| print("文件上传完成") |
| print(f"响应: {response}") |
| except Exception as e: |
| print(f"文件 {file_in_folder} 上传失败: {e}") |
| continue |
| else: |
| print(f'Error: Folder {yun_folder} does not exist') |
| else: |
| print(f'Error: File {huggingface_token_file} does not exist') |
| |
| hugface_upload(yun_folders, repo_id) |
| ``` |
| - 第三步：等待上传完成： |
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