Safetensors
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Update README.md

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@@ -89,22 +89,18 @@ Use the code below to get started with the model.
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  Install the Inference Code
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- !pip install hdm2 --quiet
 
 
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  Run the HDM-2 model
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  # Load the model from HuggingFace into the GPU
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- <!---->
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-
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  from hdm2 import HallucinationDetectionModel
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-
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- <!---->
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-
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  hdm_model = HallucinationDetectionModel()
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- <!---->
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-
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  prompt = "Explain how the heart functions"
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  context = """
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  The heart is a muscular organ that pumps blood throughout the body.
@@ -122,21 +118,19 @@ Run the HDM-2 model
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  # average heart weighs ~10 oz (not 5 pounds),
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  # and beats ~2.5 billion times (not 2 million) in a lifetime
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- <!---->
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-
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  # Detect hallucinations with default parameters
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  results = hdm_model.apply(prompt, context, response)
 
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  Print the results
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  # Utility function to help with printing the model output
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  def print_results(results):
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   #print(results)
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   # Print results
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   print(f"\nHallucination severity: {results['adjusted_hallucination_severity']:.4f}")
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- <!---->
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-
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   # Print hallucinated sentences
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   if results['candidate_sentences']:
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       print("\nPotentially hallucinated sentences:")
@@ -149,11 +143,10 @@ Print the results
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         print("No hallucinated sentences detected.")
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   else:
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       print("\nNo hallucinated sentences detected.")
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-
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- <!---->
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-
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  print_results(results)
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  ```
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  OUTPUT:
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  Install the Inference Code
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+ ```bash
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+ pip install hdm2 --quiet
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+ ```
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  Run the HDM-2 model
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+ ```python
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  # Load the model from HuggingFace into the GPU
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  from hdm2 import HallucinationDetectionModel
 
 
 
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  hdm_model = HallucinationDetectionModel()
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  prompt = "Explain how the heart functions"
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  context = """
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  The heart is a muscular organ that pumps blood throughout the body.
 
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  # average heart weighs ~10 oz (not 5 pounds),
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  # and beats ~2.5 billion times (not 2 million) in a lifetime
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  # Detect hallucinations with default parameters
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  results = hdm_model.apply(prompt, context, response)
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+ ```
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  Print the results
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+ ```python
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  # Utility function to help with printing the model output
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  def print_results(results):
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   #print(results)
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   # Print results
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   print(f"\nHallucination severity: {results['adjusted_hallucination_severity']:.4f}")
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   # Print hallucinated sentences
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   if results['candidate_sentences']:
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       print("\nPotentially hallucinated sentences:")
 
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         print("No hallucinated sentences detected.")
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   else:
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       print("\nNo hallucinated sentences detected.")
 
 
 
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  print_results(results)
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+ ```
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+
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  ```
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  OUTPUT:
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