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from ModelDriver import * | |
import numpy as np | |
import warnings | |
warnings.filterwarnings("ignore") | |
Input_Text = "I want to do this data" | |
# print("RobertaSentinelOpenGPTInference") | |
# Probs = RobertaSentinelOpenGPTInference(Input_Text) | |
# Pred = "Human Written" if not np.argmax(Probs) else "Machine Generated" | |
# | |
# print(f"Prediction: {Pred} ") | |
# print(f"Confidence:", max(Probs)) | |
# print("RobertaSentinelCSAbstractInference") | |
# Probs = RobertaSentinelCSAbstractInference(Input_Text) | |
# Pred = "Human Written" if not np.argmax(Probs) else "Machine Generated" | |
# | |
# print(f"Prediction: {Pred} ") | |
# print(f"Confidence:", max(Probs)) | |
print("RobertaClassifierCSAbstractInference") | |
Probs = RobertaClassifierCSAbstractInference(Input_Text) | |
Pred = "Human Written" if not np.argmax(Probs) else "Machine Generated" | |
print(Probs) | |
print(f"Prediction: {Pred} ") | |
print(f"Confidence:", max(Probs)) |