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  ---
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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ license: apache-2.0
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  ---
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+ Hierarchy Transformers (HiTs) are capable of interpreting and encoding hierarchies explicitly.
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+ The relevant code in [HierarchyTransformers](https://github.com/KRR-Oxford/HierarchyTransformers) extends from [Sentence-Transformers](https://huggingface.co/sentence-transformers).
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+ Example usage:
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+ ```python
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+ from hierarchy_transformers import HierarchyTransformer
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+ from hierarchy_transformers.utils import get_torch_device
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+
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+ # set up the device (use cpu if no gpu found)
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+ gpu_id = 0
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+ device = get_torch_device(gpu_id)
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+
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+ # load the model
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+ model = HierarchyTransformer.load_pretrained('Hierarchy-Transformers/HiT-MiniLM-L12-WordNet')
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+
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+ # entity names to be encoded.
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+ entity_names = ["computer", "personal computer", "laptop"]
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+
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+ # get the entity embeddings
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+ entity_embeddings = model.encode(entity_names)
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+ ```