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hf-cloud-python-env-setup

Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill

SKILL.md metadata excerpt. This is the source’s description, not an instruction to this site.

huggingface/skillsskills/hf-cloud-python-env-setup/SKILL.md

Before you use it

Input
Not independently summarized. Check the source’s scope and examples.
Expected output
Not independently summarized; do not assume a ready-to-use artifact.
Prerequisites
Review the source instructions, scripts, accounts and tools in your intended environment.

Publisher guidance starts with hf-cli; other workflows are installed separately. The marketplace entry is not a claim that every workflow is bundled. Review the chosen client's instructions, local hardware, authorization and possible cloud charges. Codex is described without a single surface-specific runtime test; no Codex surface is certified here.

Publisher documentation, static file observations and environment tests are different kinds of evidence. Runtime behavior has not been observed.

Study the method

Start with the task scope and instructions, then inspect supporting files and examples. Compare the workflow with your own inputs, constraints and intended result.

4 files in the observed scope; 2 in scripts/, 0 in references/, 0 in assets/.

Zero files in scripts/ does not mean no execution, network access or file writes. Markdown and other folders may describe or contain executable behavior.

Source version and requirements

Observed
2026-09-08T11:53:42.181Z
Source commit
97862b0fcc89c850fdd00c82ede1e62d3c930a6d
Content SHA-256
c5d108b134dc5237ec63fbbb3200717853f2c5281ab33b7a2f1576b46a4d0fe8
License
Apache-2.0
Author attribution
Repository owner: huggingface. Individual authorship is not independently established.
Read applicable source license

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Open current repository
Reference note and manual copy