Text Classification
Transformers
Safetensors
English
Chinese
qwen3
text-generation
zen
zen-reranker
zenlm
hanzo
reranker
retrieval
text-embeddings-inference
Instructions to use zenlm/zen-reranker-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenlm/zen-reranker-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zenlm/zen-reranker-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-reranker-8B") model = AutoModelForCausalLM.from_pretrained("zenlm/zen-reranker-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "__version__": { | |
| "sentence_transformers": "5.4.0" | |
| }, | |
| "activation_fn": "torch.nn.modules.linear.Identity", | |
| "default_prompt_name": "query", | |
| "model_type": "CrossEncoder", | |
| "prompts": { | |
| "query": "Given a web search query, retrieve relevant passages that answer the query" | |
| } | |
| } |