Text Classification
Transformers
PyTorch
Safetensors
multilingual
English
hierarchical-xlm-roberta-xl
custom_code
Instructions to use bond005/xlm-roberta-xl-hallucination-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bond005/xlm-roberta-xl-hallucination-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bond005/xlm-roberta-xl-hallucination-detector", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("bond005/xlm-roberta-xl-hallucination-detector", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!