interneuronai/customer_support_ticket_classification_pegasus_dataset
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 model_name = "interneuronai/customer_support_ticket_classification_pegasus" model =… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/customer_support_ticket_classification_pegasus_dataset.
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))