interneuronai/gym_membership_upgrades_pegasus

Gym Membership Upgrades

Description: Classify member feedback to identify potential areas of improvement and opportunities for upselling premium services, such as personal training or nutrition counseling.

How to Use

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

from transformers import AutoModelForSequenceClassification, AutoTokenizer

modelname = "interneuronai/gymmembershipupgradespegasus" model = AutoModelForSequenceClassification.frompretrained(modelname) tokenizer = AutoTokenizer.frompretrained(modelname)

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))