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
- Xet hash:
- 0f95ef55f9118ff8d19b2ff1ad90f93b344a3b234222ecdbde10e6266c8f06d0
- Size of remote file:
- 8.04 GB
- SHA256:
- f3222f8eae96b717d299dadad3099a85f35db32b3b73baa57bd6e96c02fbb35e
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