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:
- 69ff1c7b12b2497555ac6d4995539a3aca19e85729dda6b98dcf721fe2294a54
- Size of remote file:
- 738 MB
- SHA256:
- 8ad7971503ec0bfaba6ea736cde306c3d20580f65d7fd4394289f447af4325ef
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