Text Classification
PEFT
Safetensors
English
multilingual
intent-classification
modernbert
lora
mmlu-pro
Instructions to use llm-semantic-router/mmbert32k-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/mmbert32k-intent-classifier-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("llm-semantic-router/mmbert-32k-yarn") model = PeftModel.from_pretrained(base_model, "llm-semantic-router/mmbert32k-intent-classifier-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3efbd84db99a70ab762bb917146e7645d18a2f74bad2b69a4f59e7ffa408661e
- Size of remote file:
- 27.1 MB
- SHA256:
- aa6fc5a99cb5517787073f4e4824d12a8a67ad7a10393a33a11f394836a8ee37
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