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README.md
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---
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tags:
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- image-captioning
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- deep-learning
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- pytorch
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- encoder-decoder
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- vision
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---
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# 🖼️ Image Captioning Model
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This is a deep learning-based **image captioning model** trained using a **CNN Encoder + LSTM Decoder** architecture. The model generates captions for input images based on visual features extracted by a Convolutional Neural Network (CNN).
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## 📌 Model Details
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- **Model Type**: Image Captioning
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- **Architecture**: CNN Encoder + LSTM Decoder
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- **Framework**: PyTorch
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- **Input**: Image (`.jpg`, `.png`, etc.)
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- **Output**: Generated caption (text)
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- **Vocabulary**: Pre-trained vocabulary file
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## 🚀 How to Use
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### **1️⃣ Install Dependencies**
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```bash
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pip install torch torchvision transformers huggingface_hub pickle5
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