Run cloud training on Hugging Face
hugging-face-jobsskillsetup L3★0
Sheshiyer/skill-clusters ↗What it does
Submit Python workloads to managed Hugging Face cloud GPUs/TPUs
Best for
When running data processing, batch inference, model training, or ML experiments without local GPU setup or infrastructure complexity.
Inputs
- · Python script
- · dependencies (via uv)
- · secrets (HF_TOKEN)
- · optional timeout, env vars
Outputs
- · job ID
- · monitoring URL
- · job logs
- · results persisted to Hub
Requires
- · Hugging Face Jobs MCP
- · HF_TOKEN for Hub auth
- · uv (package manager)
Preconditions
HF pro/team/enterprise plan, HF_TOKEN with write permission, script provided as string
Failure modes
- · Timeout exceeded before job completes losing all progress
- · HF_TOKEN not passed as secret causing auth failure
- · script writes to local files instead of pushing to Hub
Trust signals
- · Jobs run asynchronously on cloud
- · $HF_TOKEN placeholder auto-replaced by MCP
- · Trackio monitoring included