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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf5d976874d24ecfb3d3bea98e998d9974c35b6541437f7b138b401400c62fa7
- Size of remote file:
- 3.44 kB
- SHA256:
- 20a86da052435c2a8d3e0ff7fc10883ac90a6762590ac1ba8ad30aafd2a1831c
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