skill collection · Use or study
huggingface-trackio
Record and inspect model-training experiments.
huggingface/skillsskills/huggingface-trackio/SKILL.md
Before you use it
- Input
- A training workflow, metrics to record and the intended experiment context.
- Expected output
- An experiment logging or visualization workflow.
- Prerequisites
- Check the Python API and storage or hosted-service configuration. The directory does not collect training data.
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
Inspect logging_metrics.md, retrieving_metrics.md and alerts.md as separate phases of the workflow.
4 files in the observed scope; 0 in scripts/, 3 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
- 540f52974f4f77c2455a7b37ed983da0dbfb0f5af3d2c482e4736f14f1cc8724
- License
- Apache-2.0
- Author attribution
- Repository owner: huggingface. Individual authorship is not independently established.
This page describes a pinned source snapshot, not the latest repository state. Changes after this commit have not been reconciled here. A repository license does not necessarily cover external models, datasets or services.
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