itialized
        >>> model = FlaxEncoderDecoderModel.from_encoder_decoder_pretrained("bert-base-cased", "gpt2")

        >>> tokenizer = BertTokenizer.from_pretrained("bert-base-cased")

        >>> text = "My friends are cool but they eat too many carbs."
        >>> input_ids = tokenizer.encode(text, max_length=1024, return_tensors="np")
        >>> encoder_outputs = model.encode(input_ids)

        >>> decoder_start_token_id = model.config.decoder.bos_token_id
        >>> decoder_input_ids = jnp.ones((input_ids.shape[0], 1), dtype="i4") * decoder_start_token_id

        >>> outputs = model.decode(decoder_input_ids, encoder_outputs)
        >>> logits = outputs.logits
        ```Nr