Merge pull request #141 from SinghJasdeep/patch-1
loading saved model when n_classes != 2
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@@ -558,7 +558,7 @@ def main():
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# Load a trained model that you have fine-tuned
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# Load a trained model that you have fine-tuned
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model_state_dict = torch.load(output_model_file)
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model_state_dict = torch.load(output_model_file)
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model = BertForSequenceClassification.from_pretrained(args.bert_model, state_dict=model_state_dict)
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model = BertForSequenceClassification.from_pretrained(args.bert_model, state_dict=model_state_dict, num_labels=num_labels)
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model.to(device)
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model.to(device)
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if args.do_eval and (args.local_rank == -1 or torch.distributed.get_rank() == 0):
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if args.do_eval and (args.local_rank == -1 or torch.distributed.get_rank() == 0):
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