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Update README.md

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  1. README.md +5 -2
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@@ -33,7 +33,8 @@ The following provides the code to implement the task of detecting personality f
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  import torch
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- model = AutoModelForSequenceClassification.from_pretrained("KevSun/Personality_LM")
 
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  tokenizer = AutoTokenizer.from_pretrained("KevSun/Personality_LM")
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  # Choose between direct text input or file input
@@ -83,8 +84,10 @@ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  import torch
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  import argparse
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  def load_model_and_tokenizer(model_name):
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- model = AutoModelForSequenceClassification.from_pretrained(model_name)
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  return model, tokenizer
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  import torch
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+ warnings.filterwarnings('ignore')
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+ model = AutoModelForSequenceClassification.from_pretrained("KevSun/Personality_LM", ignore_mismatched_sizes=True)
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  tokenizer = AutoTokenizer.from_pretrained("KevSun/Personality_LM")
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  # Choose between direct text input or file input
 
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  import torch
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  import argparse
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+ warnings.filterwarnings('ignore')
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+
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  def load_model_and_tokenizer(model_name):
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+ model = AutoModelForSequenceClassification.from_pretrained(model_name, ignore_mismatched_sizes=True)
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  return model, tokenizer
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