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README.md

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+---
+tags:
+- clip
+- moral-foundations
+- vision
+- image-classification
+- multimodal
+license: mit
+---
+
+# Visual Moral Compass
+
+Visual Moral Compass is a fine-tuned CLIP model that classifies images based on Moral Foundations Theory.
+
+## Model Description
+
+This model extends CLIP (openai/clip-vit-base-patch16) with five classifier heads to predict moral dimensions in images:
+- **Care vs. Harm**: Concerns about suffering and protection
+- **Fairness vs. Cheating**: Concerns about justice and reciprocity  
+- **Loyalty vs. Betrayal**: Concerns about group membership and solidarity
+- **Respect vs. Subversion**: Concerns about hierarchy and authority
+- **Sanctity vs. Degradation**: Concerns about purity and contamination
+
+## Usage
+
+```python
+from visual_moral_compass import VisualMoralCompass
+
+# Load model
+model = VisualMoralCompass.from_pretrained("YOUR_USERNAME/visual-moral-compass")
+
+# Classify an image
+results = model.classify_image("path/to/image.jpg")
+print(results)
+```
+
+## Citation
+
+If you use this model, please cite:
+
+```bibtex
+@inproceedings{moralclip2025,
+      author = {Condez, Ana Carolina and Tavares, Diogo and Magalh\~{a}es, Jo\~{a}o},
+      title = {MoralCLIP: Contrastive Alignment of Vision-and-Language Representations with Moral Foundations Theory},
+      year = {2025},
+      isbn = {9798400720352},
+      publisher = {Association for Computing Machinery},
+      address = {New York, NY, USA},
+      doi = {10.1145/3746027.3758166},
+      booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
+      pages = {12399–12408},
+      numpages = {10},
+      location = {Dublin, Ireland},
+      series = {MM '25}
+    }
+```
+
+## Model Details
+
+- **Base Model**: openai/clip-vit-base-patch16
+- **Training Data**: Social-Moral Image Database

config.json

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+{
+  "model_type": "visual-moral-compass",
+  "base_model": "openai/clip-vit-base-patch16",
+  "num_pairs": 5,
+  "moral_foundations": [
+    [
+      "Care",
+      "Harm"
+    ],
+    [
+      "Fairness",
+      "Cheating"
+    ],
+    [
+      "Loyalty",
+      "Betrayal"
+    ],
+    [
+      "Respect",
+      "Subversion"
+    ],
+    [
+      "Sanctity",
+      "Degradation"
+    ]
+  ],
+  "architectures": [
+    "CLIPImageMultiClassification"
+  ]
+}

pytorch_model.bin

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