ymcui/Chinese-XLNet resource
Pre-Trained Chinese XLNet（中文XLNet预训练模型） observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 78
- 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 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2606
- days_rel: n/a
- days_push: 137
- n_releases_24m: 0
Adoption not part of the score
1646 stars · 278 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A repository of pre-trained Chinese XLNet language models (XLNet-base and XLNet-mid) released by HFL, available in PyTorch and TensorFlow formats via Hugging Face Transformers. It provides model weights, fine-tuning details, and baseline results for Chinese NLP tasks.
Use cases
- download a pretrained Chinese XLNet model
- fine-tune XLNet on Chinese text classification
- use Chinese XLNet with Hugging Face transformers
- get Chinese pretrained model weights for NER
- compare Chinese XLNet baselines on NLP tasks
When to choose
- you need a Chinese XLNet checkpoint for fine-tuning or research
- you want PyTorch or TensorFlow weights compatible with the transformers library
When to avoid
- you need a modern LLM or instruction-tuned model rather than an encoder-style pretrained model
- you work with languages other than Chinese
Facets
dataset · maturity maintenance
machine-learning nlp large-language-models machine-learning python pretrained-models chinese-nlp xlnet transformers huggingface natural-language-processing tensorflow gpu
1 source
- readme: https://github.com/ymcui/Chinese-XLNet · fetched 2026-08-28 · 77a0821fdc22
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ymcui/Chinese-XLNet | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="ymcui/Chinese-XLNet")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem