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
File size: 378 Bytes
caad463 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"is_local": false,
"local_files_only": false,
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}
|