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**Hierarchy Transformer (HiT)** is a framework aimed to provide universal hierarchy embedding in hyperbolic space with transformer encoder-based language models.
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This Hugging Face page serves as a repository for both the **models** and **datasets**, the latter is also accessible on [Zenodo](https://zenodo.org/doi/10.5281/zenodo.10511042).
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We will soon build a project page to present more details.
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## Get Started
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Install `hierarchy_tranformers` (check our [GitHub Repo](https://github.com/KRR-Oxford/HierarchyTransformers)) through `pip` or `GitHub`.
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**Hierarchy Transformer (HiT)** is a framework aimed to provide universal hierarchy embedding in hyperbolic space with transformer encoder-based language models.
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## Get Started
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Install `hierarchy_tranformers` (check our [GitHub Repo](https://github.com/KRR-Oxford/HierarchyTransformers)) through `pip` or `GitHub`.
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