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omarmomen/sf_babylm_1
sf_babylm_1 is a fill-mask model from omarmomen. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
This model is part of the experiments in my master's thesis titled "Linguistic Structure Induction from Language Models" (https://arxiv.org/abs/2403.09714).
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From the Hugging Face model README
This model is part of the experiments in my master's thesis titled "Linguistic Structure Induction from Language Models" (https://arxiv.org/abs/2403.09714).
"omarmomen/sf_babylm_1" is the StructFormer (SF_m=0) referred to in Chapter 5 (p. 59), where the parser network is position ahead of all the attention blocks.
The model is trained on the BabyLM 10M dataset, with a RobertaTokenizer pretrained on the BabyLM 10M dataset with 16K tokens (https://huggingface.co/omarmomen/babylm_bpe_tokenizer_16k).