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HuggingFace

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빠른 시작Top-Up and BillingAccelerating Access to Academic ResourcesQuick StartIntroductionMaintenance and TroubleshootingNetwork
플랫폼JetBrain ProjectorTmpWebCal Scholars Program @2026Introduction to the Public Beta/Suqian Zone AAbout UsCopying Data Between InstancesAnalysis of Server Performance MetricsTidal Computing PowerLoad Balancing
중국산 칩Using Huawei MindIEHuawei Ascend NPUMooreThread GPU
환경 설정CUDA/cuDNNMinicondaPython3.XInstalling DependenciesOverviewImages
엔터프라이즈 기능Flexible DeploymentElastic Deployment Release NotesBest Practices for Elastic DeploymentPerformance Metrics Monitoring
컨테이너 인스턴스JupyterLabRemote SSH ConnectionSave the imageScaling ConfigurationMulti-machine, multi-GPU parallel processingDaemonOverviewChange the billing methodMigration Example (Same Region)Migration ExamplesRemote DesktopReset the system
GPU 선택GPU SelectionPerformance Testing
데이터Upload DataDownload DataPublic DataPublic Cloud Storage (Highly Recommended)Compression / DecompressionFile StorageLocal data diskOverview
모범 사례FileZillaGitGromacsHuggingFaceKataGoLinux BasicsMPIOpenCLPyCharm Remote DevelopmentR (RStudio) InstallationSSH TunnelTensorBoardRemote Development with VSCodeVisdomVulkanXShellOpen PortsWeChat MessagesPerformanceExpose multiple servicesMoney-Saving TipsComputation Precision IssuesSoftware Sources

모범 사례

HuggingFace

2026. 07. 30.82927회 조회

Frequently Asked Questions

  1. Models downloaded from HuggingFace take up a significant amount of space on the system drive, resulting in insufficient space on the system drive. By default, HuggingFace cached models are stored in the /root/.cache directory. You can save the model cache to a data disk using the following method:

    终端中执行:
    export HF_HOME=/root/webcal-tmp/cache/
    
    或者Python代码中执行:
    import os
    os.environ['HF_HOME'] = '/root/webcal-tmp/cache/'
    
다음 글Public Cloud Storage (Highly Recommended)
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