REPOGEO REPORT · LITE

Morizeyao/GPT2-Chinese

Default branch old_gpt_2_chinese_before_2021_4_22 · commit 9dc45aa2 · scanned 5/15/2026, 2:39:06 AM

GitHub: 7,603 stars · 1,688 forks

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Morizeyao/GPT2-Chinese, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README's opening to highlight pre-trained models for Chinese text generation

Why:

CURRENT

# GPT2-Chinese

## Description

- Chinese version of GPT2 training code, using BERT tokenizer or BPE tokenizer. It is based on the extremely awesome repository from HuggingFace team Transformers. Can write poems, news, novels, or train general language models. Support char level, word level and BPE level. Support large training corpus.

COPY-PASTE FIX

# GPT2-Chinese: Pre-trained Models and Training Code for Chinese Text Generation

## Description

- Based on HuggingFace Transformers, this repository provides ready-to-use GPT-2 models for generating Chinese poems, news, and novels, alongside a flexible codebase for training custom Chinese language models with BERT or BPE tokenizers. Support char level, word level and BPE level. Support large training corpus.

mediumhomepage#2
Add the repository URL as the homepage
Why:
COPY-PASTE FIX
```
https://github.com/Morizeyao/GPT2-Chinese
```

lowtopics#3

Add 'pre-trained-models' and 'pytorch' to repository topics

Why:

CURRENT

chinese, gpt-2, nlp, text-generation, transformer

COPY-PASTE FIX

chinese, gpt-2, nlp, text-generation, transformer, pre-trained-models, pytorch

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface Morizeyao/GPT2-Chinese

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

ERNIE

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

ERNIE · recommended 1×
CPM · recommended 1×
Pangu-α · recommended 1×
Megatron-LM · recommended 1×
Transformers library by Hugging Face · recommended 1×

CATEGORY QUERY
Seeking a robust framework to generate diverse creative text in the Chinese language.
you: not recommended
AI recommended (in order):
1. ERNIE
2. CPM
3. Pangu-α
4. Megatron-LM
5. Transformers library by Hugging Face
AI recommended 5 alternatives but never named Morizeyao/GPT2-Chinese. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are effective approaches for training large-scale generative models on extensive Chinese corpora?
you: not recommended
AI recommended (in order):
1. PyTorch Distributed (pytorch/pytorch)
2. DeepSpeed (microsoft/DeepSpeed)
3. TensorFlow Distributed Strategy API (tensorflow/tensorflow)
4. Transformer-XL (kimiyoung/transformer-xl)
5. Longformer (allenai/longformer)
6. BigBird (google-research/bigbird)
7. Jieba (fxsjy/jieba)
8. THULAC (thunlp/THULAC)
9. SentencePiece (google/sentencepiece)
10. Google Cloud AI Platform
11. AWS SageMaker
12. Azure Machine Learning
13. BERT-wwm-ext (ymcui/Chinese-BERT-wwm)
14. ERNIE (PaddlePaddle/ERNIE)
15. CPM (TsinghuaAI/CPM-Generate)
16. MarianMT (marian-nmt/marian-dev)
17. OpenNMT (OpenNMT/OpenNMT-py)
AI recommended 17 alternatives but never named Morizeyao/GPT2-Chinese. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of Morizeyao/GPT2-Chinese?
pass
AI named Morizeyao/GPT2-Chinese explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Morizeyao/GPT2-Chinese in production, what risks or prerequisites should they evaluate first?
pass
AI named Morizeyao/GPT2-Chinese explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo Morizeyao/GPT2-Chinese solve, and who is the primary audience?
pass
AI named Morizeyao/GPT2-Chinese explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of Morizeyao/GPT2-Chinese. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/Morizeyao/GPT2-Chinese.svg)](https://repogeo.com/en/r/Morizeyao/GPT2-Chinese)

HTML

<a href="https://repogeo.com/en/r/Morizeyao/GPT2-Chinese"><img src="https://repogeo.com/badge/Morizeyao/GPT2-Chinese.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite