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Create a spam vs ham classifier. Generate 5 examples per label and then train the model.

Built by B.|60.0% accuracy

Spam vs ham classifier for personal emails, focusing on identifying promotional spam vs legitimate wanted emails

spamham

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Create a spam vs ham classifier. Generate 5 examples per label and then train the model. | TinyModels