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---
library_name: transformers
tags:
- Maths
- Handwritten
- OCR
- Transformers
---
# Model Description
This model performs OCR on hand-written calculus formulas, extracting text with high accuracy
## Usage
### Installation
```bash
pip install unsloth transformers torch pillow
```
### Inference Code
```python
from unsloth import FastVisionModel
import torch
from transformers import AutoModel
import os
os.environ["UNSLOTH_WARN_UNINITIALIZED"] = '0'
# Load the model
model, tokenizer = FastVisionModel.from_pretrained(
"karankulshrestha/formula_ocr",
load_in_4bit = False,
auto_model = AutoModel,
trust_remote_code = True,
unsloth_force_compile = True,
use_gradient_checkpointing = "unsloth",
)
# Enable fast inference
FastVisionModel.for_inference(model)
# Run OCR on an image
result = model.infer(
tokenizer,
prompt="\nFree OCR.",
image_file="path/to/your/image.jpg",
output_path="./output",
base_size=1024,
image_size=640,
crop_mode=True,
save_results=True,
)
print("OCR Result:", result)
```
## Output
## Citation
```bibtex
@misc{formula_ocr},
author = {Karan Kulshrestha},
title = {Hand-written OCR Model},
year = {2025},
publisher = {HuggingFace},
url = {https://huggingface.co/karankulshrestha/formula_ocr}
}
``` |