Instructions to use derrickzhu/EllieSQL_Router_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use derrickzhu/EllieSQL_Router_Checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="derrickzhu/EllieSQL_Router_Checkpoints")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("derrickzhu/EllieSQL_Router_Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card: Add pipeline tag, library name, GitHub link, and usage example
Verified signatureThis PR enhances the model card for the EllieSQL router checkpoints. Key improvements: - Adds `pipeline_tag: text-classification` for better discoverability, accurately reflecting the router model's function in classifying query complexity. - Adds `library_name: transformers` to indicate compatibility with the 🤗 Transformers library. - Integrates a direct link to the GitHub repository for easy access to the source code. - Includes a detailed Python code example demonstrating how to load and use one of the router models as a PEFT adapter for complexity classification.4589e2e
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Update README.md
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add: classification/cascading routers' checkpoints
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add: Qwen DPO router
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initial commit
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