Merge branch 'master' into resumable_http
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@@ -27,6 +27,7 @@ from .tokenization_xlnet import XLNetTokenizer
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from .tokenization_xlm import XLMTokenizer
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from .tokenization_roberta import RobertaTokenizer
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from .tokenization_distilbert import DistilBertTokenizer
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from .tokenization_camembert import CamembertTokenizer
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logger = logging.getLogger(__name__)
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@@ -41,6 +42,7 @@ class AutoTokenizer(object):
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The tokenizer 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 `camembert`: CamembertTokenizer (CamemBERT model)
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- contains `distilbert`: DistilBertTokenizer (DistilBert model)
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- contains `roberta`: RobertaTokenizer (RoBERTa model)
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- contains `bert`: BertTokenizer (Bert model)
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@@ -64,8 +66,9 @@ class AutoTokenizer(object):
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The tokenizer 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 `camembert`: CamembertTokenizer (CamemBERT model)
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- contains `distilbert`: DistilBertTokenizer (DistilBert model)
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- contains `roberta`: RobertaTokenizer (XLM model)
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- contains `roberta`: RobertaTokenizer (RoBERTa model)
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- contains `bert`: BertTokenizer (Bert model)
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- contains `openai-gpt`: OpenAIGPTTokenizer (OpenAI GPT model)
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- contains `gpt2`: GPT2Tokenizer (OpenAI GPT-2 model)
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@@ -106,6 +109,8 @@ class AutoTokenizer(object):
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"""
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if 'distilbert' in pretrained_model_name_or_path:
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return DistilBertTokenizer.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
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elif 'camembert' in pretrained_model_name_or_path:
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return CamembertTokenizer.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
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elif 'roberta' in pretrained_model_name_or_path:
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return RobertaTokenizer.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
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elif 'bert' in pretrained_model_name_or_path:
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@@ -124,4 +129,4 @@ class AutoTokenizer(object):
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return CTRLTokenizer.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
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raise ValueError("Unrecognized model identifier in {}. Should contains one of "
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"'bert', 'openai-gpt', 'gpt2', 'transfo-xl', 'xlnet', "
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"'xlm', 'roberta', 'ctrl'".format(pretrained_model_name_or_path))
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"'xlm', 'roberta', 'camembert', 'ctrl'".format(pretrained_model_name_or_path))
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