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transformer_model

Syntologyentry name in harvested coderead from the graph 2026-09-24

transformer_model appears in the code Syntology harvested for 7 papers, as 26 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named transformer_model do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 26 distinct code bodies named transformer_model; 26 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
26unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 26 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

7 papers shown of 7, newest first; 26 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
BERT-QE: Contextualized Query Expansion for Document Re-ranking 15 Sep 2020 zh-zheng/BERT-QE/functions.py 5b85e1462c909ec8 unverified Apache-2.0 (permissive)
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order 24 Apr 2020 huawei-noah/Pretrained-Language-Model/PMLM/interactive_conditional_samples_sincos_acrostic.py bc3e0393640c7f77 unverified no licence file found · pointer only
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 26 Sep 2019 brightmart/albert_zh/modeling_google.py e447e4b29a5d024b unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 TeamLab/bert-gcn-for-paper-citation/modeling.py dbc9628a5ca3b1f5 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 DeligientSloth/bert-tensorflow/modeling.py e353d671edbdf34f unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 wchh127/yykf/modeling.py 79608bac19b3ff5c unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 Satan012/BERT/modeling.py 4f87a173bcbfc6e5 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 h4ste/oscar/modeling.py f0fc6275fce8ef79 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 chiayewken/bert-qa/modeling.py 5e82334665dedf36 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 guoyaohua/BERT-Classifier/modeling.py 60bfa1dabc7ab848 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 pengshuyuan/Bert/modeling.py 05cc60302ae6f12e unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 zsweet/BERT_zsw/modeling.py 95cf64fa85a7e558 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 KnightZhang625/BERT_TF/model_official.py 4525f9e4207ffc06 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 deepmipt/bert/bert_dp/modeling.py b9f693772b62b1de unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 haidershaour/bert/modeling.py ea7da1391dc2610d unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 yydai/bert_test/modeling.py 6665fea4d7527bd9 unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 SCismycat/bert_code_view/modeling.py a98b0db74fba302e unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 semal/bert/bert/core/modeling.py c35f055903ebe93d unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 MichaelZhouwang/LMlexsub/modeling.py fa4fc5f028a8331e unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 ricardordb/bert/modeling.py ec6e2c37d8c8f1a7 unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 appcoreopc/berty/modeling.py 3f7055cb9134acc8 unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 JNUpython/bert/bert_base/modeling.py c51e39f79c51d162 unverified no licence file found · pointer only
Attention Is All You Need 12 Jun 2017 goodluck4s/bert-/modeling.py 3ecf4675e826ebbd unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 goldenbili/Bert_Test2/modeling.py 751674c1b265282d unverified Apache-2.0 (permissive)
arXiv:2023.acl-long.693 AI4Bharat/IndicBERT/train/modeling.py a8954909e0e65298 unverified MIT (permissive)
arXiv:2021.acl-long.233 ACL2020SpellGCN/SpellGCN/modeling.py 4b8758c7c102ebb6 unverified no licence file found · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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