The model usually performs well without requiring any finetuning.
The architecture follows a classic encoder-decoder architecture, which means that it relies on the [~generation.GenerationMixin.generate] function for inference.

One can use [WhisperProcessor] to prepare audio for the model, and decode the predicted ID's back into text.

To convert the model and the processor, we recommend using the following: