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earlymodernner-adapters
jacobpol/earlymodernner-adapters
earlymodernner-adapters is a machine learning model from jacobpol. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
LoRA adapters for Named Entity Recognition in Early Modern English documents (1500-1800).
Access
Public
Updated Jan 29, 2026
Repo size
19 GB
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Repo makeup
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026
- SHA
- 5cf55071
Base models
Model card
From the Hugging Face model README
EarlyModernNER Adapters
LoRA adapters for Named Entity Recognition in Early Modern English documents (1500-1800).
Adapters
| Adapter | Entity Type | Precision | Recall | F1 |
|---|---|---|---|---|
toponym_lora | Place names | 0.93 | 0.82 | 0.87 |
person_lora | People | 0.93 | 0.69 | 0.80 |
organization_lora | Institutions | 0.93 | 0.46 | 0.62 |
commodity_lora | Trade goods | 0.85 | 0.80 | 0.83 |
Usage
These adapters are used by the EarlyModernNER package:
pip install earlymodernner
python -m earlymodernner --input your_docs/ --output results.jsonl
Adapters are automatically downloaded on first use.
Base Model
All adapters are trained on Qwen/Qwen3-4B-Instruct-2507 using QLoRA (4-bit quantization).
License
MIT License
Author
Jacob Polay, University of Saskatchewan
- Library
- peft
- License
- mit
- Languages
- en
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026