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@@ -20,7 +20,7 @@ model_description: "Language model for embedding organismal trait descriptions.
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  # Model Card for Trait2Vec
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- Trait2Vec is a model for the tree of life, built using CLIP architecture as a language model to embed organismal trait descriptions in a way that preserves the structure induced by a semantic similarity (e.g. SimGIC). The model was trained on the [char-sim-data](https://huggingface.co/datasets/imageomics/char-sim-data/edit/main/README.md).
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  Through qualitative data exploration we observe the cosine similarity between embeddings of raw trait description is proportional to the semantic similarity of their corresponding ontological representations.
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  ## Model Details
 
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  # Model Card for Trait2Vec
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+ Trait2Vec is a language model to embed organismal trait descriptions in a way that preserves the structure induced by a semantic similarity metric (e.g. SimGIC). The model was trained on the [char-sim-data](https://huggingface.co/datasets/imageomics/char-sim-data/edit/main/README.md).
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  Through qualitative data exploration we observe the cosine similarity between embeddings of raw trait description is proportional to the semantic similarity of their corresponding ontological representations.
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  ## Model Details