mim-solutions / bert_for_longer_texts

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Date Created 2022-01-19 (2 years ago)

Commits 93 (last one 5 months ago)

Stargazers 129 (0 this week)

Watchers 5 (0 this week)

Forks 30

License other

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RepositoryStats indexes 589,134 repositories, of these mim-solutions/bert_for_longer_texts is ranked #245,369 (58th percentile) for total stargazers, and #333,644 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #44,895/117,584.

mim-solutions/bert_for_longer_texts is also tagged with popular topics, for these it's ranked: deep-learning (#4,449/8438), machine-learning (#4,161/7978), pytorch (#3,140/5977), nlp (#1,265/2415), natural-language-processing (#744/1418), transformers (#442/837), bert (#324/557), transfer-learning (#132/313), text-classification (#151/278)

Other Information

mim-solutions/bert_for_longer_texts has 2 open pull requests on Github, 17 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 16 closed issues.

All Topics

nlp bert pytorch roberta transformers deep-learning machine-learning transfer-learning text-classification natural-language-processing

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updated: 2024-11-27 @ 03:24am, id: 449714226 / R_kgDOGs4YMg