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
Update CoREB-Reranker delta numbers to match paper (+1.1/+0.8/+5.1)
Browse files
README.md
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@@ -41,7 +41,7 @@ Reranking delta on CoREB v202603, using GemEmb-2 as the first-stage retriever:
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| Jina Reranker v3 | -2.2 | -5.0 | -0.1 |
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| Qwen3-Reranker-0.6B | -0.6 | -8.2 | -2.3 |
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| Qwen3-Reranker-4B | -0.1 | -3.2 | +3.3 |
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| **CoREB-Reranker (ours)** | **+1.
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## Training Details
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| Jina Reranker v3 | -2.2 | -5.0 | -0.1 |
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| Qwen3-Reranker-0.6B | -0.6 | -8.2 | -2.3 |
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| Qwen3-Reranker-4B | -0.1 | -3.2 | +3.3 |
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| **CoREB-Reranker (ours)** | **+1.1** | **+0.8** | **+5.1** |
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## Training Details
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