AIThe case for zero-shot classifiers as LLM alternatives
A user shares Hugging Face guides they describe as beginner-friendly, alongside model listings, and recommends DeBERTa and ModernBERT classifiers.
TLDR
A user argues that many problems solved with LLMs could have been handled by zero-shot classifiers, wishing those classifiers had been scaled as much as decoder-only models. In a follow-up, they share Hugging Face model listings and guides they describe as beginner-friendly, including one on zero-shot image classification. They recommend DeBERTa and ModernBERT models.
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The case for zero-shot classifiers as LLM alternatives
A user shares Hugging Face guides they describe as beginner-friendly, alongside model listings, and recommends DeBERTa and ModernBERT classifiers.