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Stereotype_Detection
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wu981526092 commited on
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a3ccb8a
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1 Parent(s): 64e9d5d

update

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  1. bias_detector/__pycache__/bias_detector.cpython-311.pyc +0 -0
  2. bias_detector/bias_detector.py +2 -2
bias_detector/__pycache__/bias_detector.cpython-311.pyc CHANGED
Binary files a/bias_detector/__pycache__/bias_detector.cpython-311.pyc and b/bias_detector/__pycache__/bias_detector.cpython-311.pyc differ
 
bias_detector/bias_detector.py CHANGED
@@ -47,10 +47,10 @@ class Detector:
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  # Using pipeline for inference
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  if classifier == 'Token':
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  task_type = "ner"
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- self.model = pipeline(task_type, model=self.model_path, tokenizer=AutoTokenizer.from_pretrained(self.model_path,use_auth_token=API_token),use_auth_token=API_token)
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  else:
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  task_type = "text-classification"
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- self.model = pipeline(task_type, model=self.model_path, tokenizer=AutoTokenizer.from_pretrained(self.model_path,use_auth_token=API_token),use_auth_token=API_token,return_all_scores= True)
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  def predict(self, texts: List[str]):
 
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  # Using pipeline for inference
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  if classifier == 'Token':
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  task_type = "ner"
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+ self.model = pipeline(task_type, model=self.model_path, tokenizer=self.model_path,use_auth_token=API_token)
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  else:
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  task_type = "text-classification"
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+ self.model = pipeline(task_type, model=self.model_path, tokenizer=self.model_path,use_auth_token=API_token,return_all_scores= True)
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  def predict(self, texts: List[str]):