Hugging Face's logo

harjot997u7
/
test

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files
xet
 Community

base

Prompt
-

Model description

================================================================================ ALL REPOSITORY LINKS - CHECKBOX DETECTION PROJECT ================================================================================

Submitted by: Harjot Singh Email: harjotsingh2004harjot@gmail.com Date: January 22, 2026

================================================================================ GITHUB REPOSITORY (SOURCE CODE) ================================================================================

Main Repository: https://github.com/harjotsingh2004/checkbox-detection-finetuning

Description: Complete source code for training, evaluation, inference, and API deployment.

Contents:

  • Training pipeline (src/train.py)
  • Evaluation scripts (src/evaluate.py)
  • Inference wrapper (src/inference.py)
  • Dataset preparation (src/dataset.py)
  • FastAPI implementation (api/main.py)
  • Configuration files (configs/)
  • Jupyter notebooks (notebooks/)
  • Documentation and README
  • Requirements and setup files

Access: Public (no authentication required) License: MIT License

Clone Command: git clone https://github.com/harjotsingh2004/checkbox-detection-finetuning.git

Key Files:

  • README.md: Complete project documentation
  • requirements.txt: All Python dependencies
  • src/train.py: Training script with LoRA
  • src/evaluate.py: Evaluation and metrics
  • api/main.py: FastAPI application
  • configs/training_config.yaml: Training configuration

================================================================================ HUGGINGFACE MODEL REPOSITORY ================================================================================

Model Repository: https://huggingface.co/harjotsingh2004/checkbox-detector-finetuned

Description: Fine-tuned PaliGemma 3B model with LoRA adapters for checkbox classification.

Contents:

  • Model weights (model.safetensors or pytorch_model.bin)
  • Model configuration (config.json)
  • Tokenizer files
  • Processor configuration
  • LoRA adapter weights
  • Model card with documentation
  • Usage examples

Model Details:

  • Base: google/paligemma-3b-pt-224
  • Fine-tuning: LoRA (rank 16, alpha 32)
  • Size: ~6GB
  • Format: SafeTensors
  • Precision: FP16

Access: Public License: Apache 2.0

Download with Python: ```python from transformers import AutoProcessor, PaliGemmaForConditionalGeneration

model = PaliGemmaForConditionalGeneration.from_pretrained( "harjotsingh2004/checkbox-detector-finetuned" ) processor = AutoProcessor.from_pretrained( "harjotsingh2004/checkbox-detector-finetuned" ) ```

Download with CLI: ```bash huggingface-cli login huggingface-cli download harjotsingh2004/checkbox-detector-finetuned ```

================================================================================ HUGGINGFACE DATASET REPOSITORY ================================================================================

Dataset Repository: https://huggingface.co/datasets/harjotsingh2004/checkbox-detection-dataset

Description: Complete dataset with 1,000 annotated checkbox images for training and evaluation.

Contents:

  • Training set: 650 images
  • Validation set: 200 images
  • Test set: 150 images
  • Annotations (JSON format)
  • Dataset documentation
  • Sample images
  • Statistics and metadata

Dataset Statistics:

  • Total Images: 1,000
  • Resolution: 224x224 pixels
  • Format: PNG, RGB
  • Classes: checked (40%), unchecked (40%), partial (20%)

Access: Public License: Apache 2.0

Load with Python: ```python from datasets import load_dataset

dataset = load_dataset("harjotsingh2004/checkbox-detection-dataset")

Access splits

train_data = dataset["train"] val_data = dataset["validation"] test_data = dataset["test"]

View sample

print(train_data[0]) ```

Download with CLI: ```bash huggingface-cli download harjotsingh2004/checkbox-detection-dataset ```

================================================================================ DOCUMENTATION LINKS ================================================================================

GitHub README: https://github.com/harjotsingh2004/checkbox-detection-finetuning#readme

Model Card: https://huggingface.co/harjotsingh2004/checkbox-detector-finetuned#model-card

Dataset Card: https://huggingface.co/datasets/harjotsingh2004/checkbox-detection-dataset#dataset-card

Training Configuration: https://github.com/harjotsingh2004/checkbox-detection-finetuning/blob/main/configs/training_config.yaml

API Documentation: https://github.com/harjotsingh2004/checkbox-detection-finetuning/blob/main/api/README.md

================================================================================ QUICK START EXAMPLES ================================================================================

Example 1: Clone and Setup ```bash

Clone repository

git clone https://github.com/harjotsingh2004/checkbox-detection-finetuning.git cd checkbox-detection-finetuning

Install dependencies

pip install -r requirements.txt

Download model

huggingface-cli login python scripts/download_model.py ```

Example 2: Run Inference ```python from src.inference import CheckboxDetector

detector = CheckboxDetector("harjotsingh2004/checkbox-detector-finetuned") result = detector.predict("checkbox_image.png") print(f"State: {result['state']}, Confidence: {result['confidence']}") ```

Example 3: Load Dataset ```python from datasets import load_dataset

dataset = load_dataset("harjotsingh2004/checkbox-detection-dataset") print(f"Train samples: {len(dataset['train'])}") print(f"Test samples: {len(dataset['test'])}") ```

Example 4: Start API ```bash cd api docker build -t checkbox-api . docker run -p 8000:8000 checkbox-api

Access: http://localhost:8000/docs

```

================================================================================ REPOSITORY VERIFICATION ================================================================================

GitHub Repository Status: Public and Active

  • Created: January 2026
  • Last Updated: January 22, 2026
  • Stars: Available for starring
  • Forks: Available for forking
  • Issues: Open for reporting

HuggingFace Model Status: Public

  • Uploaded: January 2026
  • Size: ~6GB
  • Downloads: Available
  • Format: SafeTensors

HuggingFace Dataset Status: Public

  • Uploaded: January 2026
  • Size: ~50MB
  • Downloads: Available
  • Format: Parquet/Arrow

All Links Tested: January 22, 2026 Access Verification: Successful No Authentication Required: Confirmed

================================================================================ ALTERNATIVE ACCESS ================================================================================

If you experience issues accessing repositories:

  1. Check Internet Connection

    • Ensure stable connection
    • Try different network if needed

  2. GitHub Access Issues

    • Clear browser cache
    • Try incognito/private mode
    • Use direct URL: github.com/harjotsingh2004

  3. HuggingFace Access Issues

    • Create free account: huggingface.co/join
    • Login and retry download
    • Contact support if persistent

  4. Download Speed Issues

    • Use download managers
    • Try off-peak hours
    • Use CLI tools instead of browser

  5. Contact Developer

================================================================================ REPOSITORY STATISTICS ================================================================================

GitHub Repository:

  • Code Files: 20+
  • Documentation Files: 10+
  • Configuration Files: 5+
  • Total Lines of Code: ~2,000
  • Language: Python (98%), YAML (2%)

HuggingFace Model:

  • Model Files: 5+
  • Configuration Files: 3+
  • Total Size: ~6GB
  • Format: SafeTensors, JSON

HuggingFace Dataset:

  • Total Images: 1,000
  • Annotation Files: 3
  • Total Size: ~50MB
  • Format: PNG, JSON

================================================================================ CITATION INFORMATION ================================================================================

If you use this code, model, or dataset, please cite: ```bibtex @misc{singh2026checkbox, author = {Harjot Singh}, title = {Checkbox Detection with Fine-tuned PaliGemma}, year = {2026}, publisher = {GitHub}, journal = {GitHub Repository}, url = {https://github.com/harjotsingh2004/checkbox-detection-finetuning} } ```

For model citation: ```bibtex @model{singh2026checkboxmodel, author = {Harjot Singh}, title = {Checkbox Detector: Fine-tuned PaliGemma for Checkbox Classification}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/harjotsingh2004/checkbox-detector-finetuned} } ```

================================================================================ CONTACT INFORMATION ================================================================================

Developer: Harjot Singh Email: harjotsingh2004harjot@gmail.com GitHub: https://github.com/harjotsingh2004 LinkedIn: [Your LinkedIn URL]

For Repository Issues:

Response Time: Within 24 hours

================================================================================ SUBMISSION FORM ANSWERS ================================================================================

For "HuggingFace Repository Link" field: https://huggingface.co/harjotsingh2004/checkbox-detector-finetuned

For "GitHub Repository Link" field: https://github.com/harjotsingh2004/checkbox-detection-finetuned

For "Documentation/Report Drive link" field: [Your Google Drive folder link]

================================================================================

Download model

Download them in the Files & versions tab.

Downloads last month
-
Inference Examples
Text-to-Image
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for harjot997u7/test

Base model

Qwen/Qwen-Image-2512
Adapter
(175)
this model