RRepoGEO

REPOGEO REPORT · LITE

mgrankin/ru_transformers

Default branch master · commit e698092e · scanned 6/11/2026, 10:17:41 AM

GitHub: 765 stars · 97 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 mgrankin/ru_transformers, 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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Pre-trained Transformer models (GPT-2, RoBERTa, ELECTRA) for Russian language generation and NLP tasks, with finetuning notebooks.
  • mediumhomepage#2
    Add a homepage link to the repository

    Why:

    COPY-PASTE FIX
    https://porfirevich.ru

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 mgrankin/ru_transformers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
YaLM 100B
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. YaLM 100B · recommended 1×
  2. RuGPT3 · recommended 1×
  3. mT5 · recommended 1×
  4. mGPT · recommended 1×
  5. BLOOM · recommended 1×
  • CATEGORY QUERY
    Where can I find open-source large language models for Russian text generation?
    you: not recommended
    AI recommended (in order):
    1. YaLM 100B
    2. RuGPT3
    3. mT5
    4. mGPT
    5. BLOOM

    AI recommended 5 alternatives but never named mgrankin/ru_transformers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to finetune a GPT-2 model for generating Russian language content?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch Lightning (Lightning-AI/lightning)
    3. Keras (keras-team/keras)
    4. TensorFlow (tensorflow/tensorflow)
    5. DeepSpeed (microsoft/DeepSpeed)
    6. JAX (google/jax)
    7. Flax (google/flax)

    AI recommended 7 alternatives but never named mgrankin/ru_transformers. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 mgrankin/ru_transformers?
    pass
    AI named mgrankin/ru_transformers explicitly

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

  • If a team adopts mgrankin/ru_transformers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mgrankin/ru_transformers 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 mgrankin/ru_transformers solve, and who is the primary audience?
    pass
    AI named mgrankin/ru_transformers 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 mgrankin/ru_transformers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/mgrankin/ru_transformers.svg)](https://repogeo.com/en/r/mgrankin/ru_transformers)
HTML
<a href="https://repogeo.com/en/r/mgrankin/ru_transformers"><img src="https://repogeo.com/badge/mgrankin/ru_transformers.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

mgrankin/ru_transformers — 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