Token Classification
Transformers
Safetensors
English
deberta-v2
hallucination-detection
span-detection
tool-use
deberta-v3
ragtruth
Instructions to use Ali-Bhai/deberta-tool-hallucination-span-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ali-Bhai/deberta-tool-hallucination-span-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ali-Bhai/deberta-tool-hallucination-span-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ali-Bhai/deberta-tool-hallucination-span-detector") model = AutoModelForTokenClassification.from_pretrained("Ali-Bhai/deberta-tool-hallucination-span-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e876b6803863779f4440e4b5359b60f8876b15d876fe45f684bed852b214f3e
- Size of remote file:
- 565 MB
- SHA256:
- c936df2b89d254c05444e66afa788bc3f553f7ec36e4e7b6cc230bd11e74ce24
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