Text Ranking
Transformers
Safetensors
English
qwen3
text-generation
reranking
cross-encoder
agent-tools
skill-routing
listwise-learning
Instructions to use pipizhao/SkillRouter-Reranker-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pipizhao/SkillRouter-Reranker-0.6B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("pipizhao/SkillRouter-Reranker-0.6B") model = AutoModelForCausalLM.from_pretrained("pipizhao/SkillRouter-Reranker-0.6B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c089516578deaee4be3bc564a1d1154eb9ab97b8f3626b40b64a0bd09d9f6e9
- Size of remote file:
- 1.19 GB
- SHA256:
- 34064850b1b512168309481a9cebe4ecaf55d0821bf22608f657b40033ed36d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.