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HHEMv2Config
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@@ -194,15 +194,14 @@ To start benefiting from HHEM-2.3, you can [sign up](https://console.vectara.com
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  Here are some additional resources:
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  1. Vectara [API documentation](https://docs.vectara.com/docs).
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  2. Vectara [SDK](https://github.com/vectara/python-sdk).
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- 3. Quick start using Forrest's [`vektara` package](https://vektara.readthedocs.io/en/latest/crash_course.html).
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- 4. Learn more about Vectara's [Boomerang embedding model](https://vectara.com/blog/introducing-boomerang-vectaras-new-and-improved-retrieval-model/), [Slingshot reranker](https://vectara.com/blog/deep-dive-into-vectara-multilingual-reranker-v1-state-of-the-art-reranker-across-100-languages/), and [Mockingbird LLM](https://vectara.com/blog/mockingbird-a-rag-and-structured-output-focused-llm/)
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  # Cite this model
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  ```bibtex
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  @misc {hhem-2.1-open,
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- author = {Forrest Bao and Miaoran Li and Rogger Luo and Ofer Mendelevitch},
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  title = {{HHEM-2.1-Open}},
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  year = 2024,
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  url = { https://huggingface.co/vectara/hallucination_evaluation_model },
 
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  Here are some additional resources:
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  1. Vectara [API documentation](https://docs.vectara.com/docs).
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  2. Vectara [SDK](https://github.com/vectara/python-sdk).
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+ 3. Learn more about Vectara's [Boomerang embedding model](https://vectara.com/blog/introducing-boomerang-vectaras-new-and-improved-retrieval-model/), [Slingshot reranker](https://vectara.com/blog/deep-dive-into-vectara-multilingual-reranker-v1-state-of-the-art-reranker-across-100-languages/), and [Mockingbird LLM](https://vectara.com/blog/mockingbird-a-rag-and-structured-output-focused-llm/)
 
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  # Cite this model
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  ```bibtex
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  @misc {hhem-2.1-open,
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+ author = {Miaoran Li and Rogger Luo and Ofer Mendelevitch},
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  title = {{HHEM-2.1-Open}},
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  year = 2024,
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  url = { https://huggingface.co/vectara/hallucination_evaluation_model },