Text Classification
Transformers
Safetensors
Māori
distilbert
te-reo
maori
content-moderation
text-embeddings-inference
Instructions to use launchaddict/te-reo-moderator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use launchaddict/te-reo-moderator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="launchaddict/te-reo-moderator")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("launchaddict/te-reo-moderator") model = AutoModelForSequenceClassification.from_pretrained("launchaddict/te-reo-moderator") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- mi
library_name: transformers
pipeline_tag: text-classification
tags:
- te-reo
- maori
- content-moderation
- text-classification
widget:
- text: Kia ora e te whānau, ka pai tō rā
- text: Ko taku īmēra ko user@example.com
- text: Ka whara ahau i tō whānau
Te Reo Moderation Classifier
Three-class Te Reo moderation model:
allowreviewblock
This model is intended for Te Reo Māori content moderation workflows.