---
language:
- la
tags:
- ocr
- surya
- medieval-latin
- lora
base_model: vikp/surya_ocr2
---

# Surya OCR - Medieval Latin (LoRA)

LoRA adapters for fine-tuning Surya OCR on medieval Latin manuscripts.

## Model Details

- **Base Model**: vikp/surya_ocr2
- **Dataset**: wnkh/medieval-latin
- **Training Method**: LoRA (rank=32)
- **Language**: Latin (Medieval)

## Usage

```python
from surya.foundation import FoundationPredictor
from peft import PeftModel

# Load base model
predictor = FoundationPredictor()

# Load LoRA adapters
model = PeftModel.from_pretrained(predictor.model, "wnkh/surya-medieval-latin-lora")
predictor.model = model

# Run OCR
results = predictor([image], task_name="ocr_with_boxes")
text = results[0]["text"]
```

## Training

Trained using LoRA (Low-Rank Adaptation) on medieval Latin manuscripts.
The adapters can be applied to the base Surya OCR model for improved performance on historical Latin text.