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Unicom-ViT-B-16
Qdrant/Unicom-ViT-B-16
Unicom-ViT-B-16 is a image feature extraction model from Qdrant. Use it for the image feature extraction task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
ONNX port of Unicom model from open-metric-learning.
Access
Public
Updated Sep 24, 2026
Repo size
808 MB
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2
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Repo makeup
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At a glance
- Task
- Image Feature Extraction
- License
- mit
- Access
- Public
- Created
- Jul 10, 2024
- Updated
- Sep 24, 2026
- SHA
- be4c1684
Model card
From the Hugging Face model README
ONNX port of Unicom model from 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.
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)
# ]
- Task
- Image Feature Extraction
- License
- mit
- Created
- Jul 10, 2024
- Updated
- Sep 24, 2026