huggingface-jobs
OfficialRun and persist GPU/CPU workloads on HF Jobs.
AuthorLAF-US
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Hugging Face Jobs provides a managed compute platform so you can run Python workloads without local setup, while handling authentication, environment management, and result persistence.
Core Features & Use Cases
- Execute UV scripts and Docker-based jobs with automatic hardware selection and cost estimation
- Manage authentication with tokens, secrets, and timeouts across distributed tasks
- Persist results back to the Hugging Face Hub or external storage to address ephemeral environments
- Supports batch processing, experiments, data processing, and model/dataset generation on cloud infrastructure
Quick Start
Submit a simple job via hf_jobs to run code on Hugging Face Jobs and persist results to the Hub.
Dependency Matrix
Required Modules
datasetsflashinfer-pythonhuggingface-hub[hf_transfer]hf-xet>= 1.1.7torchtransformersvllm>=0.8.5numpytqdmscikit-learnpolars>=1.31.0ascii-graphhuggingface-hub
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: huggingface-jobs Download link: https://github.com/LAF-US/IDAHO-VAULT/archive/main.zip#huggingface-jobs Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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