{"adoption": {"forks": 1149, "observed_at": "2026-08-28T04:09:38.922678+00:00", "stars": 6188}, "canonical_url": "https://ross.abutalabs.com/products/xlnet", "card": {"archived": false, "artifact_type": "library", "description": "XLNet: Generalized Autoregressive Pretraining for Language Understanding", "domain": ["deep-learning"], "enriched": true, "function": ["machine-learning", "nlp", "deep-learning"], "health_score": 20, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["zihangdai/xlnet"], "name": "zihangdai/xlnet", "platform": ["python"], "pushed_at": "2023-05-28T15:42:23+00:00", "repo": "zihangdai/xlnet", "stars": 6188, "tags": ["pretrained-language-model", "transformer", "xlnet", "research", "natural-language-processing", "tensorflow"], "topics": ["tensorflow", "nlp", "deep-learning"], "urls": [], "use_cases": ["fine-tune a pretrained language model for question answering", "run sentiment analysis with XLNet", "reproduce GLUE benchmark results", "pretrain a transformer language model on custom text", "compare XLNet vs BERT on NLP tasks"], "what_it_is": "XLNet is a generalized autoregressive pretraining method for language representation learning, built on Transformer-XL. This repo provides TensorFlow code and pretrained XLNet-Base/Large models for NLP tasks like question answering, classification, and GLUE benchmarks.", "when_to_avoid": ["you want actively maintained code or PyTorch/HuggingFace integration", "you need the latest state-of-the-art LLMs"], "when_to_choose": ["you need a strong 2019-era pretrained model with long-context handling", "you work in TensorFlow and want XLNet checkpoints"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/xlnet", "repo": "zihangdai/xlnet", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:38.922678+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:21:26.897572+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "6bb637d02709f643e1fb5740a1fc35eb87a0e74f6c6f8e9084f18b650b2bbb2c", "fetched_at": "2026-08-28T04:09:38.922678+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zihangdai/xlnet"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2632, "days_push": 1193, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}