Added DistilBERT models to all other AutoModels.
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@ -30,12 +30,13 @@ from .modeling_transfo_xl import TransfoXLConfig, TransfoXLModel, TransfoXLLMHea
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from .modeling_xlnet import XLNetConfig, XLNetModel, XLNetLMHeadModel, XLNetForSequenceClassification, XLNetForQuestionAnswering
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from .modeling_xlm import XLMConfig, XLMModel, XLMWithLMHeadModel, XLMForSequenceClassification, XLMForQuestionAnswering
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from .modeling_roberta import RobertaConfig, RobertaModel, RobertaForMaskedLM, RobertaForSequenceClassification
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from .modeling_distilbert import DistilBertConfig, DistilBertModel
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from .modeling_distilbert import DistilBertConfig, DistilBertModel, DistilBertForQuestionAnswering, DistilBertForMaskedLM, DistilBertForSequenceClassification
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from .modeling_utils import PreTrainedModel, SequenceSummary, add_start_docstrings
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logger = logging.getLogger(__name__)
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class AutoConfig(object):
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r""":class:`~pytorch_transformers.AutoConfig` is a generic configuration class
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that will be instantiated as one of the configuration classes of the library
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@ -47,6 +48,7 @@ class AutoConfig(object):
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The base model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertConfig (DistilBERT model)
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- contains `bert`: BertConfig (Bert model)
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- contains `openai-gpt`: OpenAIGPTConfig (OpenAI GPT model)
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- contains `gpt2`: GPT2Config (OpenAI GPT-2 model)
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@ -68,6 +70,7 @@ class AutoConfig(object):
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The configuration class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertConfig (DistilBERT model)
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- contains `bert`: BertConfig (Bert model)
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- contains `openai-gpt`: OpenAIGPTConfig (OpenAI GPT model)
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- contains `gpt2`: GPT2Config (OpenAI GPT-2 model)
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@ -151,6 +154,7 @@ class AutoModel(object):
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The base model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertModel (DistilBERT model)
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- contains `roberta`: RobertaModel (RoBERTa model)
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- contains `bert`: BertModel (Bert model)
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- contains `openai-gpt`: OpenAIGPTModel (OpenAI GPT model)
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@ -172,6 +176,7 @@ class AutoModel(object):
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The model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertModel (DistilBERT model)
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- contains `roberta`: RobertaModel (RoBERTa model)
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- contains `bert`: BertModel (Bert model)
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- contains `openai-gpt`: OpenAIGPTModel (OpenAI GPT model)
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@ -258,7 +263,6 @@ class AutoModel(object):
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"'xlm', 'roberta'".format(pretrained_model_name_or_path))
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class AutoModelWithLMHead(object):
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r"""
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:class:`~pytorch_transformers.AutoModelWithLMHead` is a generic model class
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@ -271,6 +275,7 @@ class AutoModelWithLMHead(object):
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The model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertForMaskedLM (DistilBERT model)
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- contains `roberta`: RobertaForMaskedLM (RoBERTa model)
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- contains `bert`: BertForMaskedLM (Bert model)
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- contains `openai-gpt`: OpenAIGPTLMHeadModel (OpenAI GPT model)
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@ -295,6 +300,7 @@ class AutoModelWithLMHead(object):
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The model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertForMaskedLM (DistilBERT model)
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- contains `roberta`: RobertaForMaskedLM (RoBERTa model)
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- contains `bert`: BertForMaskedLM (Bert model)
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- contains `openai-gpt`: OpenAIGPTLMHeadModel (OpenAI GPT model)
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@ -359,7 +365,9 @@ class AutoModelWithLMHead(object):
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model = AutoModelWithLMHead.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
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"""
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if 'roberta' in pretrained_model_name_or_path:
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if 'distilbert' in pretrained_model_name_or_path:
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return DistilBertForMaskedLM.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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elif 'roberta' in pretrained_model_name_or_path:
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return RobertaForMaskedLM.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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elif 'bert' in pretrained_model_name_or_path:
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return BertForMaskedLM.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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@ -391,6 +399,7 @@ class AutoModelForSequenceClassification(object):
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The model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertForSequenceClassification (DistilBERT model)
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- contains `roberta`: RobertaForSequenceClassification (RoBERTa model)
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- contains `bert`: BertForSequenceClassification (Bert model)
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- contains `xlnet`: XLNetForSequenceClassification (XLNet model)
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@ -412,6 +421,7 @@ class AutoModelForSequenceClassification(object):
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The model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertForSequenceClassification (DistilBERT model)
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- contains `roberta`: RobertaForSequenceClassification (RoBERTa model)
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- contains `bert`: BertForSequenceClassification (Bert model)
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- contains `xlnet`: XLNetForSequenceClassification (XLNet model)
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@ -473,7 +483,9 @@ class AutoModelForSequenceClassification(object):
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model = AutoModelForSequenceClassification.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
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"""
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if 'roberta' in pretrained_model_name_or_path:
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if 'distilbert' in pretrained_model_name_or_path:
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return DistilBertForSequenceClassification.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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elif 'roberta' in pretrained_model_name_or_path:
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return RobertaForSequenceClassification.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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elif 'bert' in pretrained_model_name_or_path:
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return BertForSequenceClassification.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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@ -498,6 +510,7 @@ class AutoModelForQuestionAnswering(object):
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The model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertForQuestionAnswering (DistilBERT model)
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- contains `bert`: BertForQuestionAnswering (Bert model)
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- contains `xlnet`: XLNetForQuestionAnswering (XLNet model)
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- contains `xlm`: XLMForQuestionAnswering (XLM model)
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@ -518,6 +531,7 @@ class AutoModelForQuestionAnswering(object):
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The model class to instantiate is selected as the first pattern matching
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in the `pretrained_model_name_or_path` string (in the following order):
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- contains `distilbert`: DistilBertForQuestionAnswering (DistilBERT model)
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- contains `bert`: BertForQuestionAnswering (Bert model)
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- contains `xlnet`: XLNetForQuestionAnswering (XLNet model)
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- contains `xlm`: XLMForQuestionAnswering (XLM model)
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@ -578,7 +592,9 @@ class AutoModelForQuestionAnswering(object):
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model = AutoModelForQuestionAnswering.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
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"""
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if 'bert' in pretrained_model_name_or_path:
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if 'distilbert' in pretrained_model_name_or_path:
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return DistilBertForQuestionAnswering.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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elif 'bert' in pretrained_model_name_or_path:
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return BertForQuestionAnswering.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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elif 'xlnet' in pretrained_model_name_or_path:
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return XLNetForQuestionAnswering.from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs)
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