Text Ranking
Transformers
Safetensors
English
Vietnamese
qwen3
text-generation
reranker
cross-encoder
listwise-reranking
generative-reranker
cve
cybersecurity
qdrant
secAI
Instructions to use DuyTa/sec-rerank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DuyTa/sec-rerank with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DuyTa/sec-rerank") model = AutoModelForCausalLM.from_pretrained("DuyTa/sec-rerank", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 280 Bytes
cc417b5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | [
{
"idx": 0,
"name": "0",
"path": "",
"type": "sentence_transformers.base.modules.transformer.Transformer"
},
{
"idx": 1,
"name": "1",
"path": "1_LogitScore",
"type": "sentence_transformers.cross_encoder.modules.logit_score.LogitScore"
}
] |