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outdated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: 521 Bytes
dcf143a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # Upload checklist (AbteeX AI Labs)
This scaffold was generated and pushed by `S:\hf-publish\add_8_more_models.py`.
The repo is structured to be cloned whole and verified locally before running.
```bash
hf download AbteeXAILab/lumynax-guard-text-moderation --local-dir lumynax-guard-text-moderation
cd lumynax-guard-text-moderation
pip install -r requirements.txt
python quickstart.py --interactive
```
To regenerate or refresh, re-run the script — `huggingface_hub.HfApi.upload_folder`
is idempotent.
|