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Hplm/student_1850_1880
student_1850_1880 is a text generation model from Hplm. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This model was trained using the BabyLlama2 training recipe, from two trainers: - Trainer 1 - Trainer 2
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From the Hugging Face model README
This model was trained using the BabyLlama2 training recipe, from two trainers:
It was trained on 10M words from the Gutenberg Corpus attributed to the time period 1850 - 1880.
Load the model like this:
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Hplm/student_1850_1880", torch_dtype=torch.float16)
tokenizer = AutoTokenizer.from_pretrained("Hplm/student_1850_1880")
This model is released under the MIT licence.
@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]}
}