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outdated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
File size: 1,047 Bytes
dcf143a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | {
"release_id": "lumynax-guard-text-moderation",
"title": "LumynaX Guard Text Moderation",
"repo_id": "AbteeXAILab/lumynax-guard-text-moderation",
"version": "v0.1.0",
"publisher": "AbteeX AI Labs",
"publisher_org": "AbteeXAILab",
"jurisdiction": "NZ",
"residency": [
"NZ",
"AU",
"global"
],
"upstream": {
"repo_id": "KoalaAI/Text-Moderation",
"license": "openrail",
"prompt_format": "roberta",
"source_note": "KoalaAI Text Moderation"
},
"gguf_mirror": null,
"runtime": "transformers",
"modalities": [
"text"
],
"context_tokens": 512,
"total_params_b": 0.279,
"active_params_b": null,
"quantization": "fp32 safetensors",
"primary_artifact": "model.safetensors",
"package_state": "weights_mirrored",
"validation_status": "scaffold_verified",
"sovereignty_tier": 3,
"supports_tools": false,
"supports_json": true,
"audit_hash_chain": "SHA-256 over canonical request + response JSON",
"build_date_utc": "2026-05-17T01:21:22Z"
} |