Text Classification
PEFT
TensorBoard
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intent-classification
mmbert
lora
vllm-semantic-router
Instructions to use llm-semantic-router/mmbert-intent-classifier-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use llm-semantic-router/mmbert-intent-classifier-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("jhu-clsp/mmBERT-base") model = PeftModel.from_pretrained(base_model, "llm-semantic-router/mmbert-intent-classifier-lora") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Upload mmBERT LoRA adapter: mmBERT Intent Classifier with LoRA - 14-class MMLU-Pro classification (77.9% accuracy)
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