Instructions to use erkerem/DnD-DM-Intent-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erkerem/DnD-DM-Intent-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erkerem/DnD-DM-Intent-Classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("erkerem/DnD-DM-Intent-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Qwen 2.5 1.5B โ 5-Class Intent LoRA (ASSIGN_TURN / RESOLVE / BROADCAST / QUERY / MENTION)
Base model: Qwen/Qwen2.5-1.5B-Instruct
Task: Single-label classification (5 classes)
Training: QLoRA + LoRA, macro-F1 main metric
Base: "Qwen/Qwen2.5-1.5B-Instruct"
Labels: "ASSIGN_TURN","RESOLVE","BROADCAST","QUERY","MENTION"