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interneuronai/customer_support_ticket_classification_pegasus
customer_support_ticket_classification_pegasus is a text classification model from interneuronai. Use it when you need a label for a piece of text. It is set up for transformers.
Description: Categorize customer support tickets based on their content to improve the efficiency of the support team and provide faster resolution times.
Downloads · 30 days
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From the Hugging Face model README
Description: Categorize customer support tickets based on their content to improve the efficiency of the support team and provide faster resolution times.
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 = AutoModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
def classify_text(text):
inputs = tokenizer(text, return_tensors="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))