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Update README.md

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@@ -8,11 +8,11 @@ This model is pre-trained on over 5 million English tweets about the 2020 US Pre
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  # Training Objective
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- This model is initialized with BERT-base and trained with normal MLM objective with classification layer fine-tuned for stance detection.
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  # Usage
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- This pre-trained language model is fine-tuned to the stance detection task.
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  Please see the [official repository](https://github.com/GU-DataLab/stance-detection-KE-MLM) for more detail.
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@@ -25,7 +25,7 @@ import numpy as np
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  # select mode path here
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- pretrained_LM_path = "kornosk/bert-election2020-twitter-stance"
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  # load model
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  tokenizer = AutoTokenizer.from_pretrained(pretrained_LM_path)
 
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  # Training Objective
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+ This model is initialized with BERT-base and trained with normal MLM objective with classification layer fine-tuned for stance detection towards Joe Biden.
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  # Usage
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+ This pre-trained language model is fine-tuned to the stance detection task specifically for Joe Biden.
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  Please see the [official repository](https://github.com/GU-DataLab/stance-detection-KE-MLM) for more detail.
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  # select mode path here
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+ pretrained_LM_path = "kornosk/bert-election2020-twitter-stance-biden"
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  # load model
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  tokenizer = AutoTokenizer.from_pretrained(pretrained_LM_path)