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
Create README.md
Browse files
README.md
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---
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datasets:
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- Muhammad2003/routing-dataset
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---
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# CLassification Based router
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Classifies correct LLM label for an input query.
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See details on [QueryRouter](https://github.com/MuhammadBinUsman03/Query-Router).
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