Text Classification
Transformers
ONNX
Safetensors
Transformers.js
modernbert
hallucination-detection
groundedness
faithfulness
fact-checking
rag
llm-evaluation
guardrails
nli
mmbert
text-embeddings-inference
Instructions to use Horizon-Labs/hallucination-guard-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Horizon-Labs/hallucination-guard-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Horizon-Labs/hallucination-guard-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Horizon-Labs/hallucination-guard-base") model = AutoModelForSequenceClassification.from_pretrained("Horizon-Labs/hallucination-guard-base", device_map="auto") - Transformers.js
How to use Horizon-Labs/hallucination-guard-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Horizon-Labs/hallucination-guard-base'); - Notebooks
- Google Colab
- Kaggle
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