Update README.md

README.md

@@ -2,8 +2,43 @@
 tags:
 - model_hub_mixin
 - pytorch_model_hub_mixin
+language:
+- en
+base_model:
+- google/vit-base-patch16-224
+- 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]
+Here’s the updated **README** with the **authors** included:  
+
+---
+
+# 🖼️📝 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**  
+
+## 📄 Research Paper  
+📜 **arXiv**: [OneEncoder: Progressive Cross-Modal Alignment](https://arxiv.org/abs/2409.11059)  
+
+## 📌 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)  
+
+
+## 📝 Authors  
+📌 **Bilal FAYE**, Hanane AZZAG, Mustapha LEBBAH, Djamel BOUCHAFFRA  
+
+
+**Note: This model is training with temperature=2.5**