Text Classification
Transformers
Safetensors
English
HHEMv2Config
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  example_title: "Negative"
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  ---
 
 
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  # Cross-Encoder for Hallucination Detection
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  This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
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  The model outputs a probabilitity from 0 to 1, 0 being a hallucination and 1 being factually consistent.
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  ```
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  ## Contact Details
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- Feel free to DM us on X/Twitter - https://twitter.com/hughes_meister and https://twitter.com/vectara and [LinkedIn](https://www.linkedin.com/in/simon-hughes-data-scientist/).
 
 
 
 
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  example_title: "Negative"
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  ---
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+ ...In Loving memory of Simon Mark Hughes...
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+
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  # Cross-Encoder for Hallucination Detection
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  This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
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  The model outputs a probabilitity from 0 to 1, 0 being a hallucination and 1 being factually consistent.
 
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  ```
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  ## Contact Details
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+ Feel free to contact us on
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+ * X/Twitter - https://twitter.com/vectara or http://twitter.com/ofermend
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+ * Discussion forums: https://discuss.vectara.com/
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+ * Discord server: https://discord.gg/GFb8gMz6UH