Text Classification
Transformers
Safetensors
PEFT
English
code
qwen3
text-generation
code-search
reranker
code-retrieval
lora
text-embeddings-inference
Instructions to use hq-bench/coreb-code-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hq-bench/coreb-code-reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hq-bench/coreb-code-reranker")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hq-bench/coreb-code-reranker") model = AutoModelForCausalLM.from_pretrained("hq-bench/coreb-code-reranker") - PEFT
How to use hq-bench/coreb-code-reranker with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Fix retriever: C2LLM-7B not GemEmb-2
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README.md
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## Reranking Results (nDCG@10 Delta %)
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Reranking delta on CoREB v202603, using
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| Reranker | Text-to-Code | Code-to-Text | Code-to-Code |
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## Reranking Results (nDCG@10 Delta %)
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Reranking delta on CoREB v202603, using C2LLM-7B as the first-stage retriever:
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| Reranker | Text-to-Code | Code-to-Text | Code-to-Code |
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