Text Classification
Transformers
ONNX
Safetensors
Transformers.js
modernbert
prompt-injection
jailbreak-detection
llm-security
ai-agents
guardrails
mmbert
text-embeddings-inference
Instructions to use Horizon-Labs/prompt-injection-guard-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Horizon-Labs/prompt-injection-guard-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Horizon-Labs/prompt-injection-guard-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Horizon-Labs/prompt-injection-guard-base") model = AutoModelForSequenceClassification.from_pretrained("Horizon-Labs/prompt-injection-guard-base", device_map="auto") - Transformers.js
How to use Horizon-Labs/prompt-injection-guard-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Horizon-Labs/prompt-injection-guard-base'); - Inference
- Notebooks
- Google Colab
- Kaggle
Per-language false alarms and the int8 ONNX file on long inputs
5
#1 opened 21 days ago
by
guicybercode