src/transformers/models/t5/modeling_flax_t5.py/FlaxT5EncoderModule/__call__
class FlaxT5EncoderModule:    def __call__(
        self,
        input_ids=None,
        attention_mask=None,
        output_attentions=False,
        output_hidden_states=False,
        return_dict: bool = True,
        deterministic: bool = True,
    ):
        # Encode if needed (training, first prediction pass)
        encoder_outputs = self.encoder(
            input_ids=input_ids,
            attention_mask=attention_mask,
            output_attentions=output_attentions,
            output_hidden_states=output_hidden_states,
            return_dict=return_dict,
            deterministic=deterministic,
        )

        return encoder_outputs