Text Classification
Transformers
PyTorch
English
deberta-v2
Inference Endpoints
ikrysinska commited on
Commit
505932b
1 Parent(s): 91c3a24

Update README.md

Browse files

add details in description

Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ pipeline_tag: text-classification
13
  ### Model Description
14
 
15
  <!-- Provide a longer summary of what this model is. -->
16
- 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.
17
 
18
  1. **CT6: Vaccines are unsafe.** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population.
19
 
 
13
  ### Model Description
14
 
15
  <!-- Provide a longer summary of what this model is. -->
16
+ 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.
17
 
18
  1. **CT6: Vaccines are unsafe.** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population.
19