# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("figmtu/deberta-v3-aac-classifier")
model = AutoModelForSequenceClassification.from_pretrained("figmtu/deberta-v3-aac-classifier")Quick Links
This is a three-way classifier built on top of DeBERTaV3. It classifies text as
- out-of-domain, similar to sentences from news articles
- spoken in-domain, similar to sentences from DailyDialog and BOLT SMS/Chat
- written in-domain, similar to sentences from mobile forum posts
See our EMNLP 2025 paper for details.
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Model tree for figmtu/deberta-v3-aac-classifier
Base model
microsoft/deberta-v3-base
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="figmtu/deberta-v3-aac-classifier")