Params: hidden :: [len*bsz x d_proj] labels :: [len*bsz] Return: if labels is

r"""Instantiate a pretrained pytorch model from a pre-trained model configuration. The model is set in evaluation mode by default using ``mod

r""" Instantiates one of the language modeling model classes of the library from a pre-trained model configuration. The `from_pretrai

r""" Instantiates one of the sequence classification model classes of the library from a pre-trained model configuration. The `from_p

r""" Instantiates one of the question answering model classes of the library from a pre-trained model configuration. The `from_pretra

r""" Instantiate a one of the configuration classes of the library from a pre-trained model configuration. The configuration class to

Instantiate a pre-processed corpus.

r""" Instantiate a one of the tokenizer classes of the library from a pre-trained model vocabulary. The tokenizer class to instantiat

r""" Instantiate a :class:`~transformers.PretrainedConfig` (or a derived class) from a pre-trained model configuration. Parameters:

r""" Instantiate a :class:`~transformers.PreTrainedTokenizer` (or a derived class) from a predefined tokenizer. Args: pre

Implementation of the gelu activation function. XLNet is using OpenAI GPT's gelu (not exactly the same as BERT) Also see https://arxi

Original Implementation of the gelu activation function in Google Bert repo when initially created. For information: OpenAI GPT's gelu is sli

Implementation of the gelu activation function. For information: OpenAI GPT's gelu is slightly different (and gives slightly different results

Implementation of the gelu activation function currently in Google Bert repo (identical to OpenAI GPT). Also see https://arxiv.org/abs/1606.0

Gets a collection of `InputExample`s for the dev set.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.