Text Classification
Transformers
PyTorch
Safetensors
English
Māori
deberta
abteex-ai-labs
aotearoa
classifier
guardrail
local-first
lumynax
moderation
new-zealand
safety
sovereign-ai
legacy
outdated
Instructions to use AbteeXAILab/lumynax-guard-text-moderation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbteeXAILab/lumynax-guard-text-moderation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AbteeXAILab/lumynax-guard-text-moderation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AbteeXAILab/lumynax-guard-text-moderation") model = AutoModelForSequenceClassification.from_pretrained("AbteeXAILab/lumynax-guard-text-moderation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
feat: initial LumynaX scaffold (card v6 + quickstart + manifest + Modelfile + Space scaffold)
dcf143a verified metadata
title: LumynaX Guard Text Moderation
colorFrom: yellow
colorTo: gray
sdk: gradio
sdk_version: 5.50.0
python_version: 3.11
app_file: app.py
pinned: false
license: apache-2.0
short_description: Scaffold Space for the lumynax-guard-text-moderation LumynaX release.
tags:
- abteex-ai-labs
- lumynax
- sovereign-ai
- new-zealand
LumynaX Guard Text Moderation
Scaffold Space for AbteeXAILab/lumynax-guard-text-moderation. The actual model weights are too large to host on a free Space.
Clone the package repo and run quickstart.py locally for the real inference path.