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interneuronai/customer_support_ticket_classification_pegasus

sourceHugging Faceupdated 2y agoView on Hugging Face
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Customer Support Ticket Classification

Description: Categorize customer support tickets based on their content to improve the efficiency of the support team and provide faster resolution times.

How to Use

Here is how to use this model to classify text into different categories:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

modelname = "interneuronai/customersupportticketclassificationpegasus" model = AutoModelForSequenceClassification.frompretrained(modelname) tokenizer = AutoTokenizer.frompretrained(model_name)

def classifytext(text): inputs = tokenizer(text, returntensors="pt", padding=True, truncation=True, max_length=512) outputs = model(**inputs) predictions = outputs.logits.argmax(-1) return predictions.item()

text = "Your text here" print("Category:", classify_text(text))