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--- |
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language: |
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- en |
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--- |
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# Luxical One |
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This is a small lexical-dense text embedding model distilled for English-language symmetrical full-document text similarity and classification applications from [`Snowflake/snowflake-arctic-embed-m-v2.0`](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0). |
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## Quickstart |
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Luxical One includes a basic HuggingFace integration that supports model inference. GPU inference is not supported (GPU "acceleration" would not provide a meaningful boost on most systems due to how fast and small the model is). |
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You must have the `luxical` package installed to run this model, and you must trust the remote code bundled with the model. Currently only cpython versions 3.11-3.13 and macos/linux operating systems are supported. |
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To install `luxical`: |
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``` shell |
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pip install luxical |
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``` |
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To load and use the model in `transformers`: |
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``` python |
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from transformers import AutoModel |
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from pathlib import Path |
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# Load from the Huggingface Hub. |
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hub_model = AutoModel.from_pretrained( |
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"datologyai/luxical-one", |
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trust_remote_code=True, |
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) |
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# Embed some text. |
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emb = local_model(["Luxical integrates with Huggingface."]).embeddings |
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``` |
