junhyun01 commited on
Commit
e7a7598
·
1 Parent(s): b52e4c6

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -3
app.py CHANGED
@@ -8,7 +8,6 @@ import re
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  def paragraph_leveling(text):
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  model_name = "./trained_model/fine_tunning_encoder_v2"
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  model = AutoModel.from_pretrained(model_name)
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- model.to('cuda')
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  tokenizer = AutoTokenizer.from_pretrained('zzxslp/RadBERT-RoBERTa-4m')
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  class MLP(nn.Module):
@@ -24,7 +23,6 @@ def paragraph_leveling(text):
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  classifier = MLP(target_size=3, input_size=768)
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  classifier.load_state_dict(torch.load('./trained_model/fine_tunning_classifier'))
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- classifier.cuda()
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  classifier.eval()
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  output_list = []
@@ -46,7 +44,7 @@ def paragraph_leveling(text):
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  padding='max_length',
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  truncation=True,
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  max_length=120)
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- output = model(**train_encoding.to('cuda'))
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  output = classifier(output[1])
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  output = output[0]
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  def paragraph_leveling(text):
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  model_name = "./trained_model/fine_tunning_encoder_v2"
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  model = AutoModel.from_pretrained(model_name)
 
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  tokenizer = AutoTokenizer.from_pretrained('zzxslp/RadBERT-RoBERTa-4m')
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  class MLP(nn.Module):
 
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  classifier = MLP(target_size=3, input_size=768)
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  classifier.load_state_dict(torch.load('./trained_model/fine_tunning_classifier'))
 
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  classifier.eval()
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  output_list = []
 
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  padding='max_length',
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  truncation=True,
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  max_length=120)
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+ output = model(**train_encoding)
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  output = classifier(output[1])
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  output = output[0]
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