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interneuronai/companyx_customer_support_ticket_routing_distilbert
companyx_customer_support_ticket_routing_distilbert 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 route customer support tickets to relevant teams based on issue descriptions, speeding up resolution time and enhancing customer experience.
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From the Hugging Face model README
Description: Automatically route customer support tickets to relevant teams based on issue descriptions, speeding up resolution time and enhancing customer experience.
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/companyx_customer_support_ticket_routing_distilbert"
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))