a14y v0.2.0

Hugging Face Docs

Docs platform site scan scorecard scanned 2026-10-01 scored per-check-mean-v1
48

No change since 1 Sept 2026

out of 100 · scorecard v0.3.0-draft · 4168/9509 checks passed · 500 pages

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Hugging Face Docs scores 48 out of 100 on the a14y v0.3.0-draft scorecard. The scan covered 500 pages, and 44% of the applicable checks passed. The site publishes a valid XML sitemap; llms.txt, AGENTS.md, and a markdown sitemap are absent.

Site checks · 6/11 passed

Evaluated once against the site's origin: discoverability surfaces like llms.txt, AGENTS.md, and sitemap signals.

Pages · 500

Each page was audited against the same scorecard. Click a page to expand its check results.

Showing 1–50 of 500 pages.

53 https://huggingface.co/models 10/19
53 https://huggingface.co/privacy 10/19
53 https://huggingface.co/spaces 10/19
53 https://huggingface.co/blog 10/19
53 https://huggingface.co/datasets 10/19
53 https://huggingface.co/pricing 10/19
53 https://huggingface.co/docs 10/19
53 https://huggingface.co/organizations 10/19
53 https://huggingface.co/learn 10/19
53 https://huggingface.co/learn/audio-course 10/19
53 https://huggingface.co/learn/computer-vision-course 10/19
53 https://huggingface.co/learn/agents-course 10/19
53 https://huggingface.co/docs/accelerate 10/19
53 https://huggingface.co/docs/chat-ui 10/19
53 https://huggingface.co/docs/autotrain 10/19
53 https://huggingface.co/docs/bitsandbytes 10/19
53 https://huggingface.co/docs/diffusers 10/19
53 https://huggingface.co/learn/cookbook 10/19
53 https://huggingface.co/learn/deep-rl-course 10/19
53 https://huggingface.co/docs/datasets 10/19
53 https://huggingface.co/learn/context-course 10/19
53 https://huggingface.co/learn/diffusion-course 10/19
53 https://huggingface.co/terms-of-service 10/19
53 https://huggingface.co/docs/dataset-viewer 10/19
53 https://huggingface.co/docs/huggingface_hub 10/19
53 https://huggingface.co/docs/evaluate 10/19
50 https://huggingface.co/docs/huggingface.js 9/18
53 https://huggingface.co/docs/hub 10/19
53 https://huggingface.co/docs/google-cloud 10/19
53 https://huggingface.co/docs/kernels 10/19
53 https://huggingface.co/docs/lighteval 10/19
53 https://huggingface.co/docs/inference-providers 10/19
53 https://huggingface.co/docs/leaderboards 10/19
53 https://huggingface.co/docs/inference-endpoints 10/19
53 https://huggingface.co/docs/lerobot 10/19
53 https://huggingface.co/docs/optimum-executorch 10/19
53 https://huggingface.co/docs/microsoft-azure 10/19
53 https://huggingface.co/learn/mcp-course 10/19
53 https://huggingface.co/docs/optimum 10/19
53 https://huggingface.co/learn/ml-for-3d-course 10/19
53 https://huggingface.co/learn/ml-games-course 10/19
53 https://huggingface.co/learn/robotics-course 10/19
53 https://huggingface.co/docs/openenv 10/19
53 https://huggingface.co/docs/optimum-habana 10/19
53 https://huggingface.co/docs/optimum-neuron 10/19
53 https://huggingface.co/docs/reachy_mini 10/19
53 https://huggingface.co/docs/optimum-intel 10/19
53 https://huggingface.co/docs/peft 10/19
53 https://huggingface.co/docs/optimum-tpu 10/19
53 https://huggingface.co/docs/timm 10/19