# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2021, PaddleNLP
# This file is distributed under the same license as the PaddleNLP package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2022.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: PaddleNLP \n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2022-03-18 21:31+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.9.0\n"

#: ../source/paddlenlp.transformers.funnel.modeling.rst:2
msgid "modeling"
msgstr ""

#: of paddlenlp.transformers.funnel.modeling.FunnelForQuestionAnswering:1
#: paddlenlp.transformers.funnel.modeling.FunnelForSequenceClassification:1
#: paddlenlp.transformers.funnel.modeling.FunnelForTokenClassification:1
#: paddlenlp.transformers.funnel.modeling.FunnelModel:1
msgid "基类：:class:`paddlenlp.transformers.funnel.modeling.FunnelPreTrainedModel`"
msgstr ""

#: of paddlenlp.transformers.funnel.modeling.FunnelModel.forward:1
msgid ""
"Defines the computation performed at every call. Should be overridden by "
"all subclasses."
msgstr ""

#: of paddlenlp.transformers.funnel.modeling.FunnelModel.forward
msgid "参数"
msgstr ""

#: of paddlenlp.transformers.funnel.modeling.FunnelModel.forward:4
msgid "unpacked tuple arguments"
msgstr ""

#: of paddlenlp.transformers.funnel.modeling.FunnelModel.forward:6
msgid "unpacked dict arguments"
msgstr ""

#: of
#: paddlenlp.transformers.funnel.modeling.FunnelForSequenceClassification.forward:3
msgid "labels (:obj:`paddle.Tensor` of shape :obj:`(batch_size,)`, `optional`):"
msgstr ""

#: of
#: paddlenlp.transformers.funnel.modeling.FunnelForSequenceClassification.forward:2
msgid ""
"Labels for computing the sequence classification/regression loss. Indices"
" should be in :obj:`[0, ..., config.num_labels - 1]`. If "
":obj:`config.num_labels == 1` a regression loss is computed (Mean-Square "
"loss), If :obj:`config.num_labels > 1` a classification loss is computed "
"(Cross-Entropy)."
msgstr ""

#: of
#: paddlenlp.transformers.funnel.modeling.FunnelForTokenClassification.forward:2
msgid ""
"labels (:obj:`paddle.Tensor` of shape :obj:`(batch_size, "
"sequence_length)`, `optional`):"
msgstr ""

#: of
#: paddlenlp.transformers.funnel.modeling.FunnelForTokenClassification.forward:2
msgid ""
"Labels for computing the token classification loss. Indices should be in "
"``[0, ..., config.num_labels - 1]``."
msgstr ""

#: of
#: paddlenlp.transformers.funnel.modeling.FunnelForQuestionAnswering.forward:3
msgid ""
"start_positions (:obj:`paddle.Tensor` of shape :obj:`(batch_size,)`, "
"`optional`):"
msgstr ""

#: of
#: paddlenlp.transformers.funnel.modeling.FunnelForQuestionAnswering.forward:2
msgid ""
"Labels for position (index) of the start of the labelled span for "
"computing the token classification loss. Positions are clamped to the "
"length of the sequence (:obj:`sequence_length`). Position outside of the "
"sequence are not taken into account for computing the loss."
msgstr ""

#: of
#: paddlenlp.transformers.funnel.modeling.FunnelForQuestionAnswering.forward:7
msgid ""
"end_positions (:obj:`paddle.Tensor` of shape :obj:`(batch_size,)`, "
"`optional`):"
msgstr ""

#: of
#: paddlenlp.transformers.funnel.modeling.FunnelForQuestionAnswering.forward:6
msgid ""
"Labels for position (index) of the end of the labelled span for computing"
" the token classification loss. Positions are clamped to the length of "
"the sequence (:obj:`sequence_length`). Position outside of the sequence "
"are not taken into account for computing the loss."
msgstr ""

