Update README.md

README.md

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 tags:
 - model_hub_mixin
 - pytorch_model_hub_mixin
+license: mit
+language:
+- en
+base_model:
+- openai/clip-vit-large-patch14
+- google-bert/bert-base-uncased
 ---
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Library: [More Information Needed]
-- Docs: [More Information Needed]
+
+# 🖼️📝 OneEncoder: A Unified Text & Image Model  
+
+**OneEncoder** is a lightweight framework for cross-modal alignment, focusing on efficiently integrating **text and images** (with future extensions to other modalities). Unlike traditional methods relying on massive modality-specific encoders, OneEncoder progressively aligns different data types, making it cost-effective and performant even on small paired datasets.  
+
+## 🚀 Key Features  
+✅ **Multimodal Alignment**: Initially supports **text & image**, with extension to other modalities.  
+✅ **Lightweight & Efficient**: Avoids full retraining when adding new modalities.  
+✅ **Superior Performance**: Outperforms models that require large specialized datasets.  
+
+## 🎯 Applications  
+- **Visual Question Answering (VQA)**  
+- **Image-Text Retrieval**  
+- **Multimodal Content Understanding**  
+
+## 📌 Resources  
+🔗 **GitHub Repo**: [OneEncoder](https://github.com/b-faye/OneEncoder)  
+🚀 **Hugging Face Demo**: [OneEncoder Retriever](https://huggingface.co/spaces/bilalfaye/OneEncoder-retriever)  
+📓 **Demo Notebook**: [OneEncoder Demos](https://github.com/b-faye/OneEncoder/tree/main/demo)  
+🔊 **OneEncoder for Text, Image & Audio**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image-audio)  
+