Instructions to use mathislucka/deberta-base-hallucination-eval-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathislucka/deberta-base-hallucination-eval-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mathislucka/deberta-base-hallucination-eval-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mathislucka/deberta-base-hallucination-eval-v2") model = AutoModelForSequenceClassification.from_pretrained("mathislucka/deberta-base-hallucination-eval-v2") - Notebooks
- Google Colab
- Kaggle
mathislucka commited on
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README.md
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# Inference
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```python
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from transformers import pipeline
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pipe = pipeline(model="mathislucka/deberta-base-hallucination-eval-v2", task="text-classification", function_to_apply="none")
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prediction = pipe(<statement> + "[SEP]" + <evidence>)
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```
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