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bart-small is a lighter version of bart-base with less attention heads, smaller FFT and smaller hidden-size.
More details can be found here.
Citation
@software{Di_Liello_bart-small,
author = {Di Liello, Luca},
license = {GPL-2.0},
title = {{bart-small}},
url = {https://github.com/lucadiliello/bart-small}
}
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lucadiliello/bart-small") model = AutoModelForSeq2SeqLM.from_pretrained("lucadiliello/bart-small")