pytorch加载模型出 bug，已经把TF版本改为 1.14

[Hyacintheater]

model = BertForSequenceClassification.from_pretrained('/content/sample_data/FinBERT_pytorch/bert_config.json',from_tf = True)
以下是报错：

AttributeError Traceback (most recent call last)
in ()
----> 1 model = BertForSequenceClassification.from_pretrained('/content/sample_data/FinBERT_pytorch/bert_config.json',from_tf = True)

/usr/local/lib/python3.6/dist-packages/transformers/modeling_utils.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
970 from .modeling_tf_pytorch_utils import load_tf2_checkpoint_in_pytorch_model
971
--> 972 model = load_tf2_checkpoint_in_pytorch_model(model, resolved_archive_file, allow_missing_keys=True)
973 except ImportError:
974 logger.error(

/usr/local/lib/python3.6/dist-packages/transformers/modeling_tf_pytorch_utils.py in load_tf2_checkpoint_in_pytorch_model(pt_model, tf_checkpoint_path, tf_inputs, allow_missing_keys)
266 import transformers
267
--> 268 from .modeling_tf_utils import load_tf_weights
269
270 logger.info("Loading TensorFlow weights from {}".format(tf_checkpoint_path))

/usr/local/lib/python3.6/dist-packages/transformers/modeling_tf_utils.py in ()
1029
1030
-> 1031 def get_initializer(initializer_range: float = 0.02) -> tf.initializers.TruncatedNormal:
1032 """
1033 Creates a :obj:tf.initializers.TruncatedNormal with the given range.

/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/deprecation_wrapper.py in getattr(self, name)
104 if name.startswith('dw'):
105 raise AttributeError('Accessing local variables before they are created.')
--> 106 attr = getattr(self._dw_wrapped_module, name)
107 if (self._dw_warning_count < _PER_MODULE_WARNING_LIMIT and
108 name not in self._dw_deprecated_printed):

AttributeError: module 'tensorflow._api.v1.initializers' has no attribute 'TruncatedNormal'

请问依赖的 transformers 的版本是什么？
另外，tokenizer = BertTokenizer.from_pretrained('/content/sample_data/FinBERT_pytorch',from_tf=True)，这行命令是可以运行的

[houpanpan]

您好，推荐使用google官方的代码加载模型，正常应该是没有问题的，依赖的transformers的版本为即为google官方公布的模型依赖的版本。