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Hugging Face Explains Decision Models and Their Ecosystem Support

1 reports 1 reporting sources first reported Updated 3 days ago

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Hugging Face explained decision models as systems that take a state and typed questions and return decisions with probabilities instead of generating text. The post describes choice, score, and yes-or-no outputs, and shows support in Transformers and llama.cpp, model discovery on the Hub, and an example of fine-tuning. Hugging Face distinguishes decision models from conventional and zero-shot classification. Support in TRL was still an open pull request when the post was written.

Generated by AI from reports · Updated 2 days ago

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11/10
  1. Hugging Face Explains Decision Models and Their Shared Interface

    Hugging Face explains decision models, which take a state and typed questions and return decisions with probabilities instead of generating text. The post distinguishes choice, score, and yes/no primitives from conventional and zero-shot classification, then demonstrates support in Transformers and llama.cpp, model discovery on the Hub, and a fine-tuning example. It also notes that TRL support is still an open pull request.

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