RRepoGEO

REPOGEO REPORT · LITE

Morizeyao/GPT2-Chinese

Default branch old_gpt_2_chinese_before_2021_4_22 · commit 9dc45aa2 · scanned 6/25/2026, 5:08:24 PM

GitHub: 7,596 stars · 1,683 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 H1 and opening description to highlight pre-trained models

    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 & Training Code for Chinese Text Generation

## Description

- This repository offers a collection of pre-trained GPT-2 models specifically optimized for Chinese text generation (e.g., poetry, news, novels), alongside the corresponding training code. Built upon HuggingFace Transformers, it supports various tokenization methods (BERT, BPE, char, word level) and large corpora.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the URL to the project's Hugging Face Model Hub collection (e.g., https://huggingface.co/Morizeyao) or a dedicated project page if one exists.
  • lowtopics#3
    Expand repository topics to include specific model types and applications

    Why:

    CURRENT
    chinese, gpt-2, nlp, text-generation, transformer
    COPY-PASTE FIX
    chinese, gpt-2, nlp, text-generation, transformer, pre-trained-models, chinese-language-model, poetry-generation, news-generation, novel-generation

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
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. PaddlePaddle · recommended 1×
  3. OpenAI API · recommended 1×
  4. TensorFlow · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    How can I train a generative language model for creative Chinese text applications?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PaddlePaddle
    3. OpenAI API
    4. TensorFlow
    5. PyTorch
    6. jieba
    7. AWS
    8. Google Cloud
    9. Azure

    AI recommended 9 alternatives but never named Morizeyao/GPT2-Chinese. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find pre-trained models for Chinese poetry or news article generation?
    you: not recommended
    AI recommended (in order):
    1. Baidu ERNIE
    2. Tencent Hunyuan
    3. Alibaba Tongyi Qianwen
    4. OpenAI GPT-3.5 / GPT-4
    5. Meta Llama 2
    6. Hugging Face
    7. BLOOM
    8. Google Gemini
    9. PaLM 2

    AI recommended 9 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 did not name Morizeyao/GPT2-Chinese — likely talking about a different project

    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 did not name Morizeyao/GPT2-Chinese — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)
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HTML
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Morizeyao/GPT2-Chinese — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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