Supplementary Materials: EmbeddingGemma Vs XLM-R for English-Indonesian Toxic Text Classification
收藏DataCite Commons2026-05-02 更新2026-05-07 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.19968769
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资源简介：
This repository contains the extended experimental environment specifications, latency evaluation results across multiple batch sizes and each model's best params for the paper titled EmbeddingGemma Vs XLM-R for English-Indonesian Toxic Text Classification, submitted to ICADEIS 2026.
提供机构：
Zenodo
创建时间：
2026-05-02
