Token Classification
Transformers
Safetensors
English
xlm-roberta
cyber-threat-intelligence
cyner
named-entity-recognition
hallucination-evaluation
Eval Results (legacy)
Instructions to use Ricky-dev/halluvision-cyner-xlmr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ricky-dev/halluvision-cyner-xlmr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ricky-dev/halluvision-cyner-xlmr-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ricky-dev/halluvision-cyner-xlmr-base") model = AutoModelForTokenClassification.from_pretrained("Ricky-dev/halluvision-cyner-xlmr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
14 days ago
-
fine-tuned CyNER checkpoint used for HalluVision ground truth
Verified signature31d84b2