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hugging-face-cli-workflows

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Aktualisiert15. Juni 2026 um 13:42

Use when working with Hugging Face CLI or Hub workflows for TRL training, including auth, repositories, uploads, downloads, Jobs, buckets, model persistence, dataset checks, Space links, and remote artifact movement.

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Quelle

burtenshaw

burtenshaw/training-agents

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

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4 Dateien

SKILL.md

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name	hugging-face-cli-workflows
description	Use when working with Hugging Face CLI or Hub workflows for TRL training, including auth, repositories, uploads, downloads, Jobs, buckets, model persistence, dataset checks, Space links, and remote artifact movement.

Hugging Face CLI Workflows

Use this skill for Hub, CLI, Jobs, buckets, and artifact workflows around TRL training.

Workflow

Check auth with hf auth whoami before remote actions.
Identify the target type: model repo, dataset repo, Space, Job, or bucket.
Keep scripts portable: remote Jobs cannot read local files unless the script is uploaded, inlined, or available by URL.
Ensure ephemeral runners push or upload artifacts before completion.
Summarize exact repo ids, job ids, paths, and commands.

Safety

Never print HF_TOKEN or credentials.
Use private repos or buckets for non-public data by default.
Confirm before deleting or overwriting Hub artifacts.
Keep large checkpoints outside this context repository.

References

references/hub-workflows.md: auth, repos, upload/download, and artifacts.
references/jobs-workflows.md: HF Jobs conventions for TRL runs.

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name	hugging-face-cli-workflows
description	Use when working with Hugging Face CLI or Hub workflows for TRL training, including auth, repositories, uploads, downloads, Jobs, buckets, model persistence, dataset checks, Space links, and remote artifact movement.

Hugging Face CLI Workflows

Use this skill for Hub, CLI, Jobs, buckets, and artifact workflows around TRL training.

Workflow

Check auth with hf auth whoami before remote actions.
Identify the target type: model repo, dataset repo, Space, Job, or bucket.
Keep scripts portable: remote Jobs cannot read local files unless the script is uploaded, inlined, or available by URL.
Ensure ephemeral runners push or upload artifacts before completion.
Summarize exact repo ids, job ids, paths, and commands.

Safety

Never print HF_TOKEN or credentials.
Use private repos or buckets for non-public data by default.
Confirm before deleting or overwriting Hub artifacts.
Keep large checkpoints outside this context repository.

References

references/hub-workflows.md: auth, repos, upload/download, and artifacts.
references/jobs-workflows.md: HF Jobs conventions for TRL runs.