import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Hplm/dora_llama_model_1880_1910", torch_dtype=torch.float16)
tokenizer = AutoTokenizer.from_pretrained("Hplm/dora_llama_model_1880_1910")

License

Repository: <a href="https://github.com/comp-int-hum/historical-perspectival-lm" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">https://github.com/comp-int-hum/historical-perspectival-lm
Paper (ArXiv): <a href="https://arxiv.org/abs/2504.05523" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">https://arxiv.org/abs/2504.05523
Paper (Hugging Face): <a href="https://huggingface.co/papers/2504.05523" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">https://huggingface.co/papers/2504.05523

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Citation

@article{fittschen_diachroniclanguagemodels_2025,
  title = {Pretraining Language Models for Diachronic Linguistic Change Discovery},
  author = {Fittschen, Elisabeth and Li, Sabrina and Lippincott, Tom and Choshen, Leshem and Messner, Craig},
  year = {2025},
  month = apr,
  eprint = {2504.05523},
  primaryclass = {cs.CL},
  publisher = {arXiv},
  doi = {10.48550/arXiv.2504.05523},
  url = {https://arxiv.org/abs/2504.05523},
  urldate = {2025-04-14},
  archiveprefix = {arXiv},
  journal = {arxiv:2504.05523[cs.CL]}
}