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[preprocessing]
THRESHOLD = 0.50
MODEL = garbage
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[target]
THRESHOLD = 0.50
MODEL = mtyrrell/CPU_Target_Classifier
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[netzero]
THRESHOLD = 0.50
MODEL = mtyrrell/CPU_Netzero_Classifier
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[sector]
THRESHOLD = 0.50
MODEL = ppsingh/mpnet-multilabel-sector-classifier
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[adapmit]
THRESHOLD = 0.50
MODEL = ppsingh/mpnet-adaptation_mitigation-classifier
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[ghg]
THRESHOLD = 0.50
MODEL = mtyrrell/CPU_Transport_GHG_Classifier
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[policyaction]
THRESHOLD = 0.50
MODEL = ppsingh/action-policy-plans-classifier
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[indicator]
THRESHOLD = 0.50
MODEL = mtyrrell/CPU_Mitigation_Classifier
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[conditional]
THRESHOLD = 0.50
MODEL = mtyrrell/CPU_Conditional_Classifier
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10
[reader]
THRESHOLD = 0.50
MODEL = ppsingh/roberta-finetuned-qa-policy_2
SPLIT_BY = word
REMOVE_PUNC = 0
SPLIT_LENGTH = 80
SPLIT_OVERLAP = 10
RESPECT_SENTENCE_BOUNDARY = 1
TOP_KEY = 10 |