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@@ -23,9 +23,8 @@ The code for training and evaluating this model can be found [here](https://gith
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  ## Model description
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- This model was trained via the dual encoding classification framework.
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- It is intended for zero-shot text classification.
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- It was trained as a baseline with the aspect-normalized [UTCD](https://huggingface.co/datasets/claritylab/UTCD) dataset.
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  - **Finetuned from model:** [`bert-base-uncased`](https://huggingface.co/bert-base-uncased)
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  ## Model description
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+ This model is intended for zero-shot text classification.
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+ It was trained via the dual encoding classification framework as a baseline with the aspect-normalized [UTCD](https://huggingface.co/datasets/claritylab/UTCD) dataset.
 
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  - **Finetuned from model:** [`bert-base-uncased`](https://huggingface.co/bert-base-uncased)
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