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--- |
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license: apache-2.0 |
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pipeline_tag: sentence-similarity |
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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) for text 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 TextEmbedding |
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documents = [ |
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"You should stay, study and sprint.", |
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"History can only prepare us to be surprised yet again.", |
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] |
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model = TextEmbedding(model_name="Qdrant/clip-ViT-B-32-text") |
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embeddings = list(model.embed(documents)) |
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# [ |
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# array([1.57889184e-02, -2.21896712e-02, -1.40235685e-02, -2.36918423e-02, ...], |
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# dtype=float32) |
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# ] |
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``` |
