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# coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
""" MMBT configuration """
from ...utils import logging
logger = logging.get_logger(__name__)
class MMBTConfig(object):
"""
This is the configuration class to store the configuration of a :class:`~transformers.MMBTModel`. It is used to
instantiate a MMBT model according to the specified arguments, defining the model architecture.
Args:
config (:class:`~transformers.PreTrainedConfig`):
Config of the underlying Transformer models. Its values are copied over to use a single config.
num_labels (:obj:`int`, `optional`):
Size of final Linear layer for classification.
modal_hidden_size (:obj:`int`, `optional`, defaults to 2048):
Embedding dimension of the non-text modality encoder.
"""
def __init__(self, config, num_labels=None, modal_hidden_size=2048):
self.__dict__ = config.__dict__
self.modal_hidden_size = modal_hidden_size
if num_labels:
self.num_labels = num_labels
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