add model card for unicom-vit-b-16

README.md

@@ -0,0 +1,29 @@
+---
+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)
+# ]
+```