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我正在尝试使用文本分类模型.因此我想使用tensorflow-hub提供的text_embedding_column函数.不幸的是我收到运行时错误

import tensorflow_hub as hub
embedded_text_feature_column = hub.text_embedding_column(
    key="sentence", 
    module_spec="https://tfhub.dev/google/nnlm-en-dim128/1")

我得到的错误如下:

RuntimeError                              Traceback (most recent call last)
<ipython-input-18-df9239a27166> in <module>()
      2 embedded_text_feature_column = hub.text_embedding_column(
      3     key="sentence",
----> 4     module_spec="https://tfhub.dev/google/nnlm-en-dim128/1")

/anaconda3/lib/python3.6/site-packages/tensorflow_hub/feature_column.py in text_embedding_column(key, module_spec, trainable)
     72      ValueError: if module_spec is not suitable for use in this feature column.
     73   
---> 74   module_spec = module.as_module_spec(module_spec)
     75   _check_module_is_text_embedding(module_spec)
     76   return _TextEmbeddingColumn(key=key, module_spec=module_spec,

/anaconda3/lib/python3.6/site-packages/tensorflow_hub/module.py in as_module_spec(spec)
     31     return spec
     32   elif isinstance(spec, six.string_types):
---> 33     return load_module_spec(spec)
     34   else:
     35     raise ValueError("Unknown module spec …