OneEncoder for text, image and audio with temperature = 2.5 during training.

README.md

@@ -2,37 +2,8 @@
 tags:
 - model_hub_mixin
 - pytorch_model_hub_mixin
-license: mit
-language:
-- en
-base_model:
-- openai/clip-vit-large-patch14
-- google-bert/bert-base-uncased
-- facebook/wav2vec2-base-960h
 ---
 
-# 🖼️📝 OneEncoder: A Unified Text & Image & Audio 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**  
-
-## 📝 Authors  
-📌 **Bilal FAYE**, Hanane AZZAG, Mustapha LEBBAH, Djamel BOUCHAFFRA  
-
-## 📄 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**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image)
+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]

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