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interneuronai/it_support_ticket_classification_pegasus
it_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: Automatically categorize and prioritize IT support tickets based on their text descriptions, enabling more efficient resolution and customer support.
Downloads · 30 days
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3% of all-time downloads
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From the Hugging Face model README
Description: Automatically categorize and prioritize IT support tickets based on their text descriptions, enabling more efficient resolution and customer support.
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/it_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))