| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - sentence-similarity | |
| - feature-extraction | |
| - transformers | |
| - sentence-transformers | |
| - luxical | |
|  | |
| # Luxical-One | |
| Luxical-One is a small lexical-dense text embedding model distilled from [`Snowflake/snowflake-arctic-embed-m-v2.0`](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0). It is optimized for high-throughput embedding without GPU acceleration, and it is trained for English-language symmetrical full-document text similarity and classification applications. | |
| Read the full story of Luxical in our [blog post](https://www.datologyai.com/blog/introducing-luxical-embeddings). | |
| Want to go deeper with Luxical models? Check out the [repo](https://github.com/datologyai/luxical). | |
| ## Quickstart | |
| Luxical-One includes a basic HuggingFace integration that supports model inference. GPU-based inference is not supported (GPU "acceleration" would not provide a meaningful boost on most systems due to how fast and small the model is anyhow). | |
| 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. | |
| To install `luxical`: | |
| ``` shell | |
| pip install luxical | |
| ``` | |
| To load and use the model in `transformers`: | |
| ``` python | |
| from transformers import AutoModel | |
| example_text = "Luxical integrates with Huggingface." | |
| luxical_one = AutoModel.from_pretrained("datologyai/luxical-one", trust_remote_code=True) | |
| embeddings = luxical_one([example_text]).embeddings | |
| ``` | |
| Or via `sentence-transformers`: | |
| ```python | |
| from sentence_transformers import SentenceTransformer | |
| example_text = "Luxical integrates with Huggingface." | |
| luxical_one = SentenceTransformer("datologyai/luxical-one", trust_remote_code=True) | |
| embeddings = luxical_one.encode(example_text) | |
| ``` | |