  This paper describes the TOKOFOU system, an ensemble model for misinformation
detection tasks based on six different transformer-based pre-trained encoders,
implemented in the context of the COVID-19 Infodemic Shared Task for English.
We fine tune each model on each of the task's questions and aggregate their
prediction scores using a majority voting approach. TOKOFOU obtains an overall
F1 score of 89.7%, ranking first.
