zihangdai/xlnet
Some data may be outdated — see provenance labels.
XLNet: Generalized Autoregressive Pretraining for Language Understanding observed · 2026-10-04
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2680
- days_rel: n/a
- days_push: 1241
- n_releases_24m: 0
Adoption not part of the score
6189 stars · 1144 forks observed · 2026-10-04
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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.
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
When to choose
- you need a strong 2019-era pretrained model with long-context handling
- you work in TensorFlow and want XLNet checkpoints
When to avoid
- you want actively maintained code or PyTorch/HuggingFace integration
- you need the latest state-of-the-art LLMs
Facets
library · maturity maintenance
machine-learning nlp deep-learning deep-learning python pretrained-language-model transformer xlnet research natural-language-processing tensorflow
1 source
- readme: https://github.com/zihangdai/xlnet · fetched 2026-10-04 · 6bb637d02709
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| zihangdai/xlnet | main | 32 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem