nroggendorff/birthday-detector

Birthday Detector

This model is a fine-tuned version of distilbert/distilbert-base-uncased. It achieves the following results on the evaluation set:

• Loss: 0.0101
• Accuracy: 1.0

You can easily run it with inference, or run it in python with:

from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="nroggendorff/birthday-detector")

isBirthday = classifier("happy birthday doug")[0]["label"] == "POSITIVE"

Make sure you have the necessary dependencies installed.

This models inspiration