Malaysian Seq2Seq
Collection
Trained on 17B tokens, 81GB of cleaned texts, able to understand standard Malay, local Malay, local Mandarin, Manglish, and local Tamil. • 8 items • Updated
How to use mesolitica/nanot5-large-malaysian-cased with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("mesolitica/nanot5-large-malaysian-cased")
model = AutoModelForSeq2SeqLM.from_pretrained("mesolitica/nanot5-large-malaysian-cased", device_map="auto")README at https://github.com/mesolitica/malaya/tree/5.1/pretrained-model/nanoT5
WandB, https://wandb.ai/huseinzol05/nanoT5-large?nw=nwuserhuseinzol05