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Fix minor docstring typos. (#12682)

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qqaatw 2021-07-14 00:08:15 +08:00 committed by GitHub
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3 changed files with 3 additions and 3 deletions
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2
src/transformers/modeling_flax_utils.py
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@ -199,7 +199,7 @@ class FlaxPreTrainedModel(PushToHubMixin, FlaxGenerationMixin):
from_pt (:obj:`bool`, `optional`, defaults to :obj:`False`):
Load the model weights from a PyTorch checkpoint save file (see docstring of
``pretrained_model_name_or_path`` argument).
ignore_mismatched_size (:obj:`bool`, `optional`, defaults to :obj:`False`):
ignore_mismatched_sizes (:obj:`bool`, `optional`, defaults to :obj:`False`):
Whether or not to raise an error if some of the weights from the checkpoint do not have the same size
as the weights of the model (if for instance, you are instantiating a model with 10 labels from a
checkpoint with 3 labels).

2
src/transformers/modeling_tf_utils.py
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@ -1132,7 +1132,7 @@ class TFPreTrainedModel(tf.keras.Model, TFModelUtilsMixin, TFGenerationMixin, Pu
from_pt: (:obj:`bool`, `optional`, defaults to :obj:`False`):
Load the model weights from a PyTorch state_dict save file (see docstring of
``pretrained_model_name_or_path`` argument).
ignore_mismatched_size (:obj:`bool`, `optional`, defaults to :obj:`False`):
ignore_mismatched_sizes (:obj:`bool`, `optional`, defaults to :obj:`False`):
Whether or not to raise an error if some of the weights from the checkpoint do not have the same size
as the weights of the model (if for instance, you are instantiating a model with 10 labels from a
checkpoint with 3 labels).

2
src/transformers/modeling_utils.py
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@ -1037,7 +1037,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
from_flax (:obj:`bool`, `optional`, defaults to :obj:`False`):
Load the model weights from a Flax checkpoint save file (see docstring of
``pretrained_model_name_or_path`` argument).
ignore_mismatched_size (:obj:`bool`, `optional`, defaults to :obj:`False`):
ignore_mismatched_sizes (:obj:`bool`, `optional`, defaults to :obj:`False`):
Whether or not to raise an error if some of the weights from the checkpoint do not have the same size
as the weights of the model (if for instance, you are instantiating a model with 10 labels from a
checkpoint with 3 labels).