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.

natural-language-processing

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143 Stars

32 Forks

143 Watchers

Python Language

other License

Cost to Build

$208.4K

Market Value

$572.1K

How is this calculated?

Growth over time

1 data points · 2025-08-12 → 2025-08-12

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What is the mim-solutions/bert_for_longer_texts GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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