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suproteem/
StoriesLM-v2-1974

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StoriesLM: A Family of Language Models With Time-Indexed Training Data

StoriesLM-v2 is a family of 125 encoder-only language models trained on an expanding sequence of historical language data.

More details are available at suproteem.is/writing/storieslm.

Usage

python

from transformers import AutoTokenizer, AutoModelForMaskedLM

model_id = "suproteem/StoriesLM-v2-1974"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForMaskedLM.from_pretrained(model_id)

python

from transformers import pipeline

fill_mask = pipeline("fill-mask", model="suproteem/StoriesLM-v2-1974")
fill_mask("We walked back and [MASK].")

Citation

bibtex

@article{sarkar2024storieslm,
  author = {Sarkar, Suproteem},
  title = {StoriesLM: A Family of Language Models With Time-Indexed Training Data},
  journal = {SSRN Electronic Journal},
  year = {2024},
  url = {https://ssrn.com/abstract=4881024}
}