run openai example running
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@@ -38,9 +38,9 @@ from .modeling import BertLayerNorm as LayerNorm
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logger = logging.getLogger(__name__)
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PRETRAINED_MODEL_ARCHIVE_MAP = {"openai-gpt": "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-pytorch_model.bin"}
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PRETRAINED_CONFIG_ARCHIVE_MAP = {"openai-gpt": "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-openai_gpt_config.json"}
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PRETRAINED_CONFIG_ARCHIVE_MAP = {"openai-gpt": "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-config.json"}
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CONFIG_NAME = "openai_gpt_config.json"
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CONFIG_NAME = "config.json"
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WEIGHTS_NAME = "pytorch_model.bin"
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def load_tf_weights_in_openai_gpt(model, openai_checkpoint_folder_path):
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@@ -444,7 +444,7 @@ class OpenAIGPTPreTrainedModel(nn.Module):
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archive_file = PRETRAINED_MODEL_ARCHIVE_MAP[pretrained_model_name_or_path]
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config_file = PRETRAINED_CONFIG_ARCHIVE_MAP[pretrained_model_name_or_path]
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else:
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archive_file = pretrained_model_name_or_path
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archive_file = os.path.join(pretrained_model_name_or_path, WEIGHTS_NAME)
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config_file = os.path.join(pretrained_model_name_or_path, CONFIG_NAME)
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# redirect to the cache, if necessary
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try:
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