max_length=10, return_tensors="pt")

        >>> outputs = model(
        ...     **inputs,
        ...     candidate_input_ids=candidates_inputs.input_ids,
        ...     candidate_attention_mask=candidates_inputs.attention_mask,
        ...     candidate_token_type_ids=candidates_inputs.token_type_ids,
        ... )
        >>> relevance_score = outputs.relevance_score
        ```Nz5You have to specify either input_ids or input_embeds.zJYou have to specify either candidate_input_ids or candidate_inputs_embeds.r^