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README.md
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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---
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#
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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## Citing & Authors
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- law
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- australia
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- legal
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- auslaw
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license: apache-2.0
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datasets:
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- umarbutler/open-australian-legal-corpus
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language:
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- en
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# AusLaw Embedding Model v1.0
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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## Citing & Authors
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```bibtex
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@misc{malec-2024-auslaw-embed-v1,
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author = {Malec, Adrian Lucas},
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year = {2024},
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title = {AusLaw Embedding v1.0},
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publisher = {Hugging Face},
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version = {1.0},
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url = {https://huggingface.co/adlumal/auslaw-embed-v1.0}
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}
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```
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