---
library_name: transformers
pipeline_tag: text-generation
license: mit
language:
- en
---

# Pretrained Historical Model (1850 - 1880)

This model was trained using the [BabyLlama2](https://arxiv.org/abs/2409.17312v1) training recipe, from two trainers:
- [Trainer 1](https://huggingface.co/Hplm/teacher_1_1850_1880)
- [Trainer 2](https://huggingface.co/Hplm/teacher_2_1850_1880)

It was trained on 10M words from the Gutenberg Corpus attributed to the time period 1850 - 1880.

### Model Sources
- **Repository:** https://github.com/comp-int-hum/historical-perspectival-lm
- **Paper (ArXiv):** https://arxiv.org/abs/2504.05523
- **Paper (Hugging Face):** https://huggingface.co/papers/2504.05523

## Downloading the Model
Load the model like this:
```python
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")
```

## License
This model is released under the [MIT](https://choosealicense.com/licenses/mit/) licence.

## 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]}
}
```