JayeeYi/clip-ViT-B-32-vision
By JayeeYi · ↓ 11 · ♥ 0 · Updated 2026-03-03
What's in this repo
This page lists the files in JayeeYi/clip-ViT-B-32-vision, including model.onnx.
- 1 ONNX models (.onnx files)
- 5 files, including 2 .json, 1 .md, 1 .onnx
- Last updated 2026-03-03
ONNX files
| File | Size | Download |
|---|---|---|
| model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
ONNX port of sentence-transformers/clip-ViT-B-32.
This model is intended to be used for image classification and similarity searches.
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/clip-ViT-B-32-vision")
embeddings = list(model.embed(images))
# [
# array([-0.1115, 0.0097, 0.0052, 0.0195, ...], dtype=float32),
# array([-0.1019, 0.0635, -0.0332, 0.0522, ...], dtype=float32)
# ]
Model info
Created: 2026-03-03
Updated: 2026-03-03
View on Hugging FaceFiles (5)
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