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+ ---
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+ {}
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+ ---
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+ ### Customer Feedback Analysis - Company X
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+
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+ **Description:** Classify customer feedback based on sentiment, topic, and urgency. Prioritize and address customer concerns, improve products and services, and enhance customer satisfaction.
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+
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+ ## How to Use
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+ Here is how to use this model to classify text into different categories:
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+
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+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+
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+ model_name = "interneuronai/customer_feedback_analysis_-_company_x_bart"
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+ model = AutoModelForSequenceClassification.from_pretrained(model_name)
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+
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+ def classify_text(text):
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+ inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)
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+ outputs = model(**inputs)
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+ predictions = outputs.logits.argmax(-1)
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+ return predictions.item()
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+
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+ text = "Your text here"
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+ print("Category:", classify_text(text))