Token Classification
Transformers
Safetensors
English
modernbert
security
jailbreak-detection
prompt-injection
tool-calling
llm-safety
mcp
Eval Results (legacy)
Instructions to use llm-semantic-router/toolcall-verifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llm-semantic-router/toolcall-verifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="llm-semantic-router/toolcall-verifier")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("llm-semantic-router/toolcall-verifier") model = AutoModelForTokenClassification.from_pretrained("llm-semantic-router/toolcall-verifier") - Notebooks
- Google Colab
- Kaggle
Ctrl+K