interneuronai/customer_feedback_analysis_-_company_x_bart

Customer Feedback Analysis - Company X

Description: Classify customer feedback based on sentiment, topic, and urgency. Prioritize and address customer concerns, improve products and services, and enhance customer satisfaction.

How to Use

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

from transformers import AutoModelForSequenceClassification, AutoTokenizer

modelname = "interneuronai/customerfeedbackanalysis-companyxbart" 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))