mesolitica
/

nanot5-base-malaysian-cased

Text2Text Generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

Pretrain BASE 512 masking context length T5 on Malaysian text

README at https://github.com/mesolitica/malaya/tree/5.1/pretrained-model/nanoT5

WandB, https://wandb.ai/huseinzol05/nanoT5-base

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Model size

248M params

Tensor type

F32

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Text2Text Generation

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Malaysian Seq2Seq

Trained on 17B tokens, 81GB of cleaned texts, able to understand standard Malay, local Malay, local Mandarin, Manglish, and local Tamil. • 8 items • Updated Dec 23, 2024