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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+base_model:
+- mistralai/Pixtral-12B-2409
+library_name: transformers
+---
+# Pixtral-12B Vision Encoder
+
+## Model Overview
+This repository provides direct access to the vision encoder module extracted from the Pixtral-12B multimodal model. By isolating the vision encoder, we enable researchers and developers to leverage the powerful visual feature extraction capabilities for downstream vision tasks.
+
+## Key Features
+- **Standalone Vision Encoder**: Extracted from the full Pixtral-12B model
+- **Lightweight Architecture**: Optimized 400M parameter vision encoder
+- **Flexible Usage**: Easily integrated into various computer vision pipelines
+- **No Unnecessary Decoder Weights**: Trimmed for efficient vision-specific applications
+
+## Motivation
+The Pixtral-12B Vision Encoder module is designed for researchers and developers who:
+- Require high-quality visual feature extraction
+- Want to use the vision encoder independently of the full multimodal model
+- Seek to implement custom downstream vision tasks
+- Desire a lightweight, efficient vision representation module
+
+## Installation
+```python
+from transformers import AutoModel
+import torch
+
+# Load the vision encoder
+vision_encoder = AutoModel.from_pretrained("your-repository/pixtral-12b-vision-encoder")
+```
+
+## Example Usage
+```python
+from PIL import Image
+import torch
+
+# Load an image
+image = Image.open("example_image.jpg")
+
+# Preprocess the image (ensure to use the corresponding processor)
+inputs = vision_processor(images=image, return_tensors="pt")
+
+# Extract visual features
+with torch.no_grad():
+    visual_embeddings = vision_encoder(**inputs).last_hidden_state
+
+# Now you can use visual_embeddings for downstream tasks
+```
+
+## Capabilities
+- High-quality visual feature extraction
+- Support for various image sizes
+- Robust representation learning
+- Compatible with multiple vision downstream tasks
+
+## Limitations
+- Designed specifically for feature extraction
+- Performance may vary depending on the specific downstream task
+- Requires careful preprocessing and task-specific fine-tuning
+
+## Acknowledgements
+Special thanks to the Mistral AI team for developing the original Pixtral-12B multimodal model.
+
+## License
+Distributed under the Apache 2.0 License.
+
+## Citation
+If you use this vision encoder in your research, please cite the original Mistral AI Pixtral-12B model.