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--- |
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license: apache-2.0 |
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language: |
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- ch |
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--- |
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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，把下载链接的huggingface.co改成hf-mirror.com 即可 |
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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，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 "把下载链接填到这双引号里" -o "保存的文件名称.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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repo_id = 'ACCC1380/private-model' |
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yun_folders = ['/kaggle/working'] #kaggle的output路径 |
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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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- 第三步：等待上传完成： |
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