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
| 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: | |
| - `allow` | |
| - `review` | |
| - `block` | |
| This model is intended for Te Reo Māori content moderation workflows. | |