Instructions to use mathislucka/deberta-hallucination-eval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathislucka/deberta-hallucination-eval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mathislucka/deberta-hallucination-eval")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mathislucka/deberta-hallucination-eval") model = AutoModelForSequenceClassification.from_pretrained("mathislucka/deberta-hallucination-eval") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:173e68c85c4e5f983655ea9c2e41335eedef12dd0f964a4f3ebaaee4431fbc06
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size 737720396
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