Running Workloads on Hugging Face Jobs

Overview

Run any workload on fully managed Hugging Face infrastructure. No local setup required — jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hub.

Common use cases: Data Processing, Batch Inference, Experiments & Benchmarks, Model Training (see model-trainer skill for TRL-specific), Synthetic Data Generation, Development & Testing, Scheduled Jobs.

When to Use This Skill

• Run Python workloads on cloud infrastructure
• Execute jobs without local GPU/TPU setup
• Process data at scale or run batch inference
• Schedule recurring tasks
• Persist results to the Hugging Face Hub

Key Directives