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#: ../source/paddlenlp.experimental.ernie_model.rst:2
msgid "ernie\\_model"
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:1
msgid "The bare ERNIE Model transformer outputting raw hidden-states."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:3
msgid ""
"This model inherits from "
":class:`~paddlenlp.transformers.model_utils.PretrainedModel`. Refer to "
"the superclass documentation for the generic methods."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:6
msgid ""
"This model is also a Paddle `paddle.nn.Layer "
"<https://www.paddlepaddle.org.cn/documentation "
"/docs/en/api/paddle/fluid/dygraph/layers/Layer_en.html>`__ subclass. Use "
"it as a regular Paddle Layer and refer to the Paddle documentation for "
"all matter related to general usage and behavior."
msgstr ""

#: of
#: paddlenlp.experimental.ernie_model.FasterErnieForSequenceClassification.forward
#: paddlenlp.experimental.ernie_model.FasterErnieForTokenClassification.forward
#: paddlenlp.experimental.ernie_model.FasterErnieModel
#: paddlenlp.experimental.ernie_model.FasterErnieModel.forward
msgid "参数"
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:10
msgid ""
"Vocabulary size of `inputs_ids` in `ErnieModel`. Also is the vocab size "
"of token embedding matrix. Defines the number of different tokens that "
"can be represented by the `inputs_ids` passed when calling `ErnieModel`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:13
msgid ""
"Dimensionality of the embedding layer, encoder layers and pooler layer. "
"Defaults to `768`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:15
msgid "Number of hidden layers in the Transformer encoder. Defaults to `12`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:17
msgid ""
"Number of attention heads for each attention layer in the Transformer "
"encoder. Defaults to `12`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:20
msgid ""
"Dimensionality of the feed-forward (ff) layer in the encoder. Input "
"tensors to ff layers are firstly projected from `hidden_size` to "
"`intermediate_size`, and then projected back to `hidden_size`. Typically "
"`intermediate_size` is larger than `hidden_size`. Defaults to `3072`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:25
msgid ""
"The non-linear activation function in the feed-forward layer. "
"``\"gelu\"``, ``\"relu\"`` and any other paddle supported activation "
"functions are supported. Defaults to `\"gelu\"`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:29
msgid ""
"The dropout probability for all fully connected layers in the embeddings "
"and encoder. Defaults to `0.1`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:32
msgid ""
"The dropout probability used in MultiHeadAttention in all encoder layers "
"to drop some attention target. Defaults to `0.1`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:35
msgid ""
"The maximum value of the dimensionality of position encoding, which "
"dictates the maximum supported length of an input sequence. Defaults to "
"`512`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:38
msgid "The vocabulary size of the `token_type_ids`. Defaults to `2`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:41
msgid ""
"The standard deviation of the normal initializer for initializing all "
"weight matrices. Defaults to `0.02`.  .. note::     A normal_initializer "
"initializes weight matrices as normal distributions.     See "
":meth:`ErniePretrainedModel._init_weights()` for how weights are "
"initialized in `ErnieModel`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:41
msgid ""
"The standard deviation of the normal initializer for initializing all "
"weight matrices. Defaults to `0.02`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:45
msgid ""
"A normal_initializer initializes weight matrices as normal distributions."
" See :meth:`ErniePretrainedModel._init_weights()` for how weights are "
"initialized in `ErnieModel`."
msgstr ""

#: of paddlenlp.experimental.ernie_model.FasterErnieModel:48
msgid "The index of padding token in the token vocabulary. Defaults to `0`."
msgstr ""

#: of
#: paddlenlp.experimental.ernie_model.FasterErnieForSequenceClassification.forward:1
#: paddlenlp.experimental.ernie_model.FasterErnieForTokenClassification.forward:1
#: paddlenlp.experimental.ernie_model.FasterErnieModel.forward:1
msgid ""
"Defines the computation performed at every call. Should be overridden by "
"all subclasses."
msgstr ""

#: of
#: paddlenlp.experimental.ernie_model.FasterErnieForSequenceClassification.forward:4
#: paddlenlp.experimental.ernie_model.FasterErnieForTokenClassification.forward:4
#: paddlenlp.experimental.ernie_model.FasterErnieModel.forward:4
msgid "unpacked tuple arguments"
msgstr ""

#: of
#: paddlenlp.experimental.ernie_model.FasterErnieForSequenceClassification.forward:6
#: paddlenlp.experimental.ernie_model.FasterErnieForTokenClassification.forward:6
#: paddlenlp.experimental.ernie_model.FasterErnieModel.forward:6
msgid "unpacked dict arguments"
msgstr ""

