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", device_map="auto")
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--- datasets: - Muhammad2003/routing-dataset --- # CLassification Based router Classifies correct LLM label for an input query. See details on [QueryRouter](https://github.com/MuhammadBinUsman03/Query-Router).
