vectara
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hallucination_evaluation_model

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forrest-vectara commited on May 25, 2025

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embed gui demo url using iframe

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@@ -11,6 +11,7 @@ pipline_tag: text-classficiation
 [**Click here try out HHEM-2.1-Open from your browser** ](https://huggingface.co/spaces/vectara/hhem-2.1-open-demo?logs=build)
 With a performance superior than GPT-3.5-Turbo and GPT-4 but a footprint of less than 600MB RAM,
 HHEM-2.1-Open is the lastest open source version of Vectara's HHEM series models for detecting hallucinations in LLMs. They are particularly useful in the context of building retrieval-augmented-generation (RAG) applications where a set of facts is summarized by an LLM, and HHEM can be used to measure the extent to which this summary is factually consistent with the facts.

 [**Click here try out HHEM-2.1-Open from your browser** ](https://huggingface.co/spaces/vectara/hhem-2.1-open-demo?logs=build)
+<iframe src="https://vectara-hhem-2-1-open-demo.hf.space/" title="Demo for HHEM-2.1-Open"></iframe>
 With a performance superior than GPT-3.5-Turbo and GPT-4 but a footprint of less than 600MB RAM,
 HHEM-2.1-Open is the lastest open source version of Vectara's HHEM series models for detecting hallucinations in LLMs. They are particularly useful in the context of building retrieval-augmented-generation (RAG) applications where a set of facts is summarized by an LLM, and HHEM can be used to measure the extent to which this summary is factually consistent with the facts.