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Unicom-ViT-B-32
Qdrant/Unicom-ViT-B-32
Unicom-ViT-B-32 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
467 MB
Likes
4
Public
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
- 39a2ce1f
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-32")
embeddings = list(model.embed(images))
# [
# array([ 0.04177791, 0.0550059 , 0.00025418, 0.0252876 , ..., dtype=float32),
# array([2.23932182e-03, 4.68995124e-02, 3.28772422e-03, 7.57176951e-02, ...], dtype=float32)
# ]
- Task
- Image Feature Extraction
- License
- mit
- Created
- Jul 10, 2024
- Updated
- Sep 24, 2026