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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from DuyTa/sec-rerank: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/DuyTa/sec-rerank/resolve/main/tokenizer.json
- Command line
-
hf download hf://DuyTa/sec-rerank/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DuyTa/sec-rerank/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.