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fix: remove appending variables/variables to the tfpath #21

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fix: remove appending variables/variables to the tfpath #21

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3 changes: 1 addition & 2 deletions albert_english_pytorch/model/modeling_albert.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,6 @@ def load_tf_weights_in_albert(model, config, tf_checkpoint_path):
raise
tf_path = os.path.abspath(tf_checkpoint_path)
logger.info("Converting TensorFlow checkpoint from {}".format(tf_path))
tf_path = tf_path + "/variables/variables"
# Load weights from TF model
init_vars = tf.train.list_variables(tf_path)
names = []
Expand Down Expand Up @@ -482,7 +481,7 @@ def _init_weights(self, module):
.. _`torch.nn.Module`:
https://pytorch.org/docs/stable/nn.html#module
Parameters:
config (:class:`~transformers.BertConfig`): Model configuration class with all the parameters of the model.
config (:class:`~transformers.BertConfig`): Model configuration class with all the parameters of the model.
Initializing with a config file does not load the weights associated with the model, only the configuration.
Check out the :meth:`~transformers.PreTrainedModel.from_pretrained` method to load the model weights.
"""
Expand Down