"以下 modelscope问题怎么处理？ https://modelscope.cn/models/iic/mgeo_geographic_textual_similarity_rerank_chinese_base
使用上述模型进行多模态预测(地址+坐标),出现以下问题:
ValueError: Unsupported data type

调用代码:
task = Tasks.text_ranking

#model = 'damo/mgeo_geographic_textual_similarity_rerank_chinese_base'
# 多模态输入，包括需要排序的文本以及地理信息
multi_modal_inputs = {
    ""source_sentence"": ['杭州余杭东方未来学校附近世纪华联商场(金家渡北苑店)'],
    ""first_sequence_gis"": [[[13159, 13295, 13136, 13157, 13158, 13291, 13294, 74505, 74713, 75387, 75389, 75411], [3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4], [3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [[1254, 1474, 1255, 1476], [1253, 1473, 1256, 1476], [1247, 1473, 1255, 1480], [1252, 1475, 1253, 1476], [1253, 1475, 1253, 1476], [1252, 1471, 1254, 1475], [1254, 1473, 1256, 1475], [1238, 1427, 1339, 1490], [1238, 1427, 1339, 1490], [1252, 1474, 1255, 1476], [1252, 1474, 1255, 1476], [1249, 1472, 1255, 1479]], [[24, 23, 15, 23], [24, 28, 15, 18], [31, 24, 22, 22], [43, 13, 37, 13], [43, 6, 35, 6], [31, 32, 22, 14], [19, 30, 9, 16], [24, 30, 15, 16], [24, 30, 15, 16], [29, 24, 20, 22], [28, 25, 19, 21], [31, 26, 22, 20]], ""120.08802231437534,30.343853313981505""]],
    ""sentences_to_compare"": [
        '良渚街道金家渡北苑42号世纪华联超市(金家渡北苑店)',
        '金家渡路金家渡中苑南区70幢金家渡中苑70幢',
        '金家渡路140-142号附近家家福足道(金家渡店)'
        ],
    ""second_sequence_gis"": [
        [[13083, 13081, 13084, 13085, 13131, 13134, 13136, 13147, 13148], [3, 3, 3, 3, 3, 3, 3, 3, 3], [3, 4, 4, 4, 4, 4, 4, 4, 4], [[1248, 1477, 1250, 1479], [1248, 1475, 1250, 1476], [1247, 1478, 1249, 1481], [1249, 1479, 1249, 1480], [1249, 1476, 1250, 1476], [1250, 1474, 1252, 1478], [1247, 1473, 1255, 1480], [1250, 1478, 1251, 1479], [1249, 1478, 1250, 1481]], [[30, 26, 21, 20], [32, 43, 23, 43], [33, 23, 23, 23], [31, 13, 22, 13], [25, 43, 16, 43], [20, 33, 10, 33], [26, 29, 17, 17], [18, 21, 8, 21], [26, 23, 17, 23]], ""120.08075205680345,30.34697777462197""],
        [[13291, 13159, 13295, 74713, 75387, 75389, 75411], [3, 3, 3, 4, 4, 4, 4], [3, 4, 4, 4, 4, 4, 4], [[1252, 1471, 1254, 1475], [1254, 1474, 1255, 1476], [1253, 1473, 1256, 1476], [1238, 1427, 1339, 1490], [1252, 1474, 1255, 1476], [1252, 1474, 1255, 1476], [1249, 1472, 1255, 1479]], [[28, 28, 19, 18], [22, 16, 12, 16], [23, 24, 13, 22], [24, 30, 15, 16], [27, 20, 18, 20], [27, 21, 18, 21], [30, 24, 21, 22]], ""120.0872539617001,30.342783672056953""],
        [[13291, 13290, 13294, 13295, 13298], [3, 3, 3, 3, 3], [3, 4, 4, 4, 4], [[1252, 1471, 1254, 1475], [1253, 1469, 1255, 1472], [1254, 1473, 1256, 1475], [1253, 1473, 1256, 1476], [1255, 1467, 1258, 1472]], [[32, 25, 23, 21], [26, 33, 17, 33], [21, 19, 11, 19], [25, 21, 16, 21], [21, 33, 11, 33]], ""120.08839673752281,30.34156156893651""]
        ]
    }

模型可接受单模态输入

pipeline_ins = pipeline(
task=task, model=model_dir)
print(pipeline_ins(input=single_modal_inputs))"