Instructions to use Muhammad2003/router-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Muhammad2003/router-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Muhammad2003/router-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Muhammad2003/router-classifier") model = AutoModelForSequenceClassification.from_pretrained("Muhammad2003/router-classifier") - Notebooks
- Google Colab
- Kaggle
metadata
datasets:
- Muhammad2003/routing-dataset
CLassification Based router
Classifies correct LLM label for an input query. See details on QueryRouter.