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Update README.md

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@@ -5,6 +5,10 @@ metrics:
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  - precision
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  - recall
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  - f1
 
 
 
 
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  ---
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  # Model Card for Model ID
@@ -121,6 +125,7 @@ Combine with rule-based or statistical methods for higher reliability
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
 
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  import torch
@@ -138,6 +143,8 @@ prediction = torch.argmax(outputs.logits, dim=1)
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  print(prediction) # 0 = Normal, 1 = Anomaly
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  ## Training Details
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  - precision
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  - recall
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  - f1
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+ license: apache-2.0
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+ base_model:
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+ - google-bert/bert-base-uncased
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+ pipeline_tag: text-classification
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  ---
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  # Model Card for Model ID
 
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
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+ # ----------------------------------------------------------------------------------
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  import torch
 
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  print(prediction) # 0 = Normal, 1 = Anomaly
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+ # ----------------------------------------------------------------------------------
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+
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  ## Training Details
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