Text Classification
Transformers
ONNX
Safetensors
Transformers.js
English
modernbert
gatekeeper
prompt-injection
jailbreak-detection
llm-security
guardrails
text-embeddings-inference
Instructions to use nuhmanpk/gatekeeper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nuhmanpk/gatekeeper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nuhmanpk/gatekeeper-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nuhmanpk/gatekeeper-base") model = AutoModelForSequenceClassification.from_pretrained("nuhmanpk/gatekeeper-base", device_map="auto") - Transformers.js
How to use nuhmanpk/gatekeeper-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'nuhmanpk/gatekeeper-base'); - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nuhmanpk/gatekeeper-base: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/nuhmanpk/gatekeeper-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://nuhmanpk/gatekeeper-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/nuhmanpk/gatekeeper-base/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.