README.md

---
license: apache-2.0
pipeline_tag: image-feature-extraction
---

ONNX port of [Unicom](https://arxiv.org/abs/2304.05884) model from [open-metric-learning](https://github.com/OML-Team/open-metric-learning).

This model is intended to be used for similarity search.

### Usage

Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).

```py
from fastembed import ImageEmbedding

images = [
    "./path/to/image1.jpg",
    "./path/to/image2.jpg",
]

model = ImageEmbedding(model_name="Qdrant/Unicom-ViT-B-16")
embeddings = list(model.embed(images))

# [
#   array([ 1.70463976e-02, -3.60863991e-02,  1.24569749e-02, -4.28437591e-02 , ...], dtype=float32),
#   array([ 0.03675087,  0.00696867, -0.01495106, -0.02828627, ...], dtype=float32)
# ]
```