Create README.md

README.md

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+---
+title: NanoVLM
+emoji: 🤖
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: "5.0.0"
+app_file: app.py
+pinned: false
+license: mit
+---
+
+# NanoVLM
+
+NanoVLM is a lightweight Vision-Language Model (VLM) designed for efficient multimodal understanding. It combines image encoding and language generation to answer questions about images while remaining suitable for resource-constrained environments.
+
+## Features
+
+- 🖼️ Image understanding
+- 💬 Visual Question Answering (VQA)
+- ⚡ Lightweight architecture
+- 🤗 Hugging Face compatible
+- 📓 Training and inference notebook included
+
+## Model Architecture
+
+The model consists of:
+
+- Vision Encoder
+- Projection Layer
+- Language Model
+- Cross-modal fusion between visual and textual representations
+
+```
+Image
+   │
+Vision Encoder
+   │
+Projection Layer
+   │
+Language Model
+   │
+Generated Answer
+```
+
+## Installation
+
+Clone the repository
+
+```bash
+git clone https://github.com/your-username/nanovlm.git
+cd nanovlm
+```
+
+Install dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+## Usage
+
+### Inference
+
+```python
+from PIL import Image
+
+image = Image.open("example.jpg")
+
+question = "What is in this image?"
+
+answer = model.chat(image, question)
+
+print(answer)
+```
+
+### Notebook
+
+Open the notebook:
+
+```
+NanoVlm_fixed.ipynb
+```
+
+and execute all cells.
+
+## Dataset
+
+The model can be trained on datasets such as:
+
+- COCO Captions
+- VQAv2
+- Flickr30k
+- Custom datasets
+
+## Training
+
+Example:
+
+```bash
+python train.py
+```
+
+Adjust hyperparameters such as:
+
+- Learning rate
+- Batch size
+- Number of epochs
+- Image resolution
+
+## Results
+
+| Metric | Value |
+|---------|------:|
+| Accuracy | -- |
+| BLEU | -- |
+| CIDEr | -- |
+
+*(Replace with your experimental results.)*
+
+## Repository Structure
+
+```
+.
+├── NanoVlm_fixed.ipynb
+├── app.py
+├── requirements.txt
+├── README.md
+├── images/
+└── model/
+```
+
+## Requirements
+
+- Python 3.10+
+- PyTorch
+- Transformers
+- Pillow
+- Torchvision
+- Gradio (optional)
+
+Install:
+
+```bash
+pip install torch torchvision transformers pillow gradio
+```
+
+## Citation
+
+If you use this project, please cite:
+
+```bibtex
+@misc{nanovlm2026,
+  title={NanoVLM: A Lightweight Vision-Language Model},
+  author={Your Name},
+  year={2026},
+  publisher={Hugging Face}
+}
+```
+
+## License
+
+MIT License
+
+## Acknowledgements
+
+This project builds upon the excellent work of:
+
+- Hugging Face Transformers
+- PyTorch
+- Vision Transformer (ViT)
+- Large Language Models research
+
+---
+
+⭐ If you find this project useful, consider giving it a star on GitHub or liking it on Hugging Face.