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Warning for ALBERT-v2 models
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@ -315,6 +315,10 @@ class PreTrainedModel(nn.Module):
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model = BertModel.from_pretrained('./tf_model/my_tf_checkpoint.ckpt.index', from_tf=True, config=config)
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"""
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if "albert" in pretrained_model_name_or_path and "v2" in pretrained_model_name_or_path:
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logger.warning("There is currently an upstream reproducibility issue with ALBERT v2 models. Please see " +
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"https://github.com/google-research/google-research/issues/119 for more information.")
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config = kwargs.pop('config', None)
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state_dict = kwargs.pop('state_dict', None)
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cache_dir = kwargs.pop('cache_dir', None)
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