Text Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
Inference Endpoints
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  ### Model Description
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  <!-- Provide a longer summary of what this model is. -->
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- This is a DeBERTa-v3-base-tasksource-nli model with an adapter trained on [More Information Needed], which contains X pairs of a tweet and a conspiracy theory along with class labels: support, deny, neutral. The model was finetuned for text classification to predict whether a tweet supports a given conspiracy theory or not. The model was trained on tweets related to six common COVID-19 conspiracy theories.
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  1. **CT6: Vaccines are unsafe.** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population.
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  ### Model Description
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  <!-- Provide a longer summary of what this model is. -->
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+ This is a DeBERTa-v3-base-tasksource-nli model with an adapter trained on [webimmunization/COVID-19-conspiracy-theories-tweets](https://huggingface.co/datasets/webimmunization/COVID-19-conspiracy-theories-tweets), which contains 6,590 pairs of a tweet and a conspiracy theory along with class labels: support, deny, neutral. The model was finetuned for text classification to predict whether a tweet supports a given conspiracy theory or not. The model was trained on tweets related to six common COVID-19 conspiracy theories.
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  1. **CT6: Vaccines are unsafe.** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population.
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