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--- |
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license: mit |
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pipeline_tag: image-classification |
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--- |
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ONNX port of [sentence-transformers/clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32). |
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This model is intended to be used for image classification and similarity searches. |
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### Usage |
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Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed). |
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```py |
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from fastembed import ImageEmbedding |
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images = [ |
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"./path/to/image1.jpg", |
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"./path/to/image2.jpg", |
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] |
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model = ImageEmbedding(model_name="Qdrant/clip-ViT-B-32-vision") |
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embeddings = list(model.embed(images)) |
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# [ |
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# array([-0.1115, 0.0097, 0.0052, 0.0195, ...], dtype=float32), |
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# array([-0.1019, 0.0635, -0.0332, 0.0522, ...], dtype=float32) |
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# ] |
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``` |
