{"adoption": {"forks": 121, "observed_at": "2026-08-28T04:04:29.549431+00:00", "stars": 1357}, "canonical_url": "https://ross.abutalabs.com/products/huggingface-download-accelerator", "card": {"archived": false, "artifact_type": "cli-tool", "description": "利用HuggingFace的官方下载工具从镜像网站进行高速下载。", "domain": ["machine-learning", "developer-tools"], "enriched": true, "function": ["developer-tools", "cli", "machine-learning", "sdk"], "health_score": 20, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["LetheSec/HuggingFace-Download-Accelerator"], "name": "LetheSec/HuggingFace-Download-Accelerator", "platform": ["python", "cli", "windows"], "pushed_at": "2024-10-12T08:03:07+00:00", "repo": "LetheSec/HuggingFace-Download-Accelerator", "stars": 1357, "tags": ["huggingface", "hf-mirror", "hf-transfer", "model-downloader", "china-mirror", "wrapper-script", "command-line", "linux", "macos"], "topics": [], "urls": [], "use_cases": ["download huggingface models fast in china", "download models from hf-mirror.com", "download only specific files from a huggingface repo", "download gated huggingface models with a token", "download huggingface datasets via command line", "speed up huggingface downloads with hf_transfer"], "what_it_is": "A Python wrapper script around huggingface-cli and hf_transfer that enables high-speed downloads of HuggingFace models and datasets, with built-in support for the hf-mirror.com mirror site for users in China. It adds convenience flags like include/exclude file filters, save directories, and access token handling for gated models.", "when_to_avoid": ["you need advanced huggingface_hub CLI features beyond this simple wrapper", "you are outside China and can download from huggingface.co directly at full speed", "you need a maintained library API rather than a single script with no license"], "when_to_choose": ["you are in a region where huggingface.co is slow or blocked and want mirror-based downloads", "you want a simple one-command wrapper for huggingface-cli with sensible defaults", "you need to filter which files are downloaded from a model or dataset repo"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/huggingface-download-accelerator", "repo": "LetheSec/HuggingFace-Download-Accelerator", "role": "main", "score": 27}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:29.549431+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:41:48.418264+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "e63f86fff21d9e1297fe4c50b47fd5a66b1c5641b8cae0eb26c55302df16570e", "fetched_at": "2026-08-28T04:04:29.549431+00:00", "kind": "readme", "missing": false, "url": "https://github.com/LetheSec/HuggingFace-Download-Accelerator"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 72, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1010, "days_push": 690, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 27, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}