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| tags: | |
| - model_hub_mixin | |
| - pytorch_model_hub_mixin | |
| language: | |
| - en | |
| base_model: | |
| - google/vit-base-patch16-224 | |
| - google-bert/bert-base-uncased | |
| # πΌοΈπ 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. | |
| ## π Key Features | |
| β **Multimodal Alignment**: Initially supports **text & image**, with extension to other modalities. | |
| β **Lightweight & Efficient**: Avoids full retraining when adding new modalities. | |
| β **Superior Performance**: Outperforms models that require large specialized datasets. | |
| ## π― Applications | |
| - **Visual Question Answering (VQA)** | |
| - **Image-Text Retrieval** | |
| - **Multimodal Content Understanding** | |
| ## π Research Paper | |
| π **arXiv**: [OneEncoder: Progressive Cross-Modal Alignment](https://arxiv.org/abs/2409.11059) | |
| ## π Resources | |
| π **GitHub Repo**: [OneEncoder](https://github.com/b-faye/OneEncoder) | |
| π **Hugging Face Demo**: [OneEncoder Retriever](https://huggingface.co/spaces/bilalfaye/OneEncoder-retriever) | |
| π **Demo Notebook**: [OneEncoder Demos](https://github.com/b-faye/OneEncoder/tree/main/demo) | |
| π **OneEncoder for Text, Image with temperature=2.5**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image) | |
| π **OneEncoder for Text, Image & Audio**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image-audio) | |
| π **OneEncoder for Text, Image & Video**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image-video) | |
| π **OneEncoder for Text, Image & X-ray**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image-xray) | |
| ## π Authors | |
| π **Bilal FAYE**, Hanane AZZAG, Mustapha LEBBAH, Djamel BOUCHAFFRA | |
| **Note: This model is training with temperature=1.0 and addition as fusion operation** | |