Text Ranking
Transformers
Safetensors
English
qwen3
text-generation
reranker
e-commerce
product-search
shopping
listwise
lora-merged
Instructions to use ThakiCloud/Commerce-Rerank-Qwen3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThakiCloud/Commerce-Rerank-Qwen3-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ThakiCloud/Commerce-Rerank-Qwen3-8B") model = AutoModelForCausalLM.from_pretrained("ThakiCloud/Commerce-Rerank-Qwen3-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ThakiCloud/Commerce-Rerank-Qwen3-8B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ThakiCloud/Commerce-Rerank-Qwen3-8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://ThakiCloud/Commerce-Rerank-Qwen3-8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ThakiCloud/Commerce-Rerank-Qwen3-8B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 4453664393a9f4f14659bf735add1e4280b3420927f0be1c788928c38d5cfc07
- Size of remote file:
- 11.4 MB
- SHA256:
- 212ef0cc44057160c7e12d4c28a41cc1e964183e0190625033fac23e5e243604
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.