Hugging Face adds end-to-end support for Decision Models

ariG23498 · x · 2026-11-11

Hugging Face announces end-to-end support for Decision Models — models that directly output a probability distribution over choices instead of generating text. Support spans transformers (a 'decision' pipeline in Python and CLI), llama.cpp for local inference, and trl/unsloth for fine-tuning. A customer-support routing example shows the model returning department, urgency and refund decisions directly, skipping JSON generation and parsing.

Related event: Hugging Face Transformers Adds Decision Models with End-to-End Pipeline Support(9 posts)→

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