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import spacy | |
def set_threshold(model_path, threshold): | |
# Load the trained model | |
nlp = spacy.load(model_path) | |
# Set the threshold for text classification | |
nlp.get_pipe('textcat_multilabel').threshold = threshold | |
return nlp | |
# Example usage: | |
if __name__ == "__main__": | |
model_path = "./my_trained_model" | |
threshold = 0.21 | |
nlp = set_threshold(model_path, threshold) | |