Instructions to use vectara/hallucination_evaluation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vectara/hallucination_evaluation_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vectara/hallucination_evaluation_model", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("vectara/hallucination_evaluation_model", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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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
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* Discord server
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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)
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