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
- Xet hash:
- 9649c9953c28f786747e2bee0a4453e698c3e7a56420d933717a12512c289c09
- Size of remote file:
- 5.27 kB
- SHA256:
- d6c1ff632be25a78653d3da6db05f33c6d07ba0ff12ffd903a74b0345217bf58
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