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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenlm/zen-reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zenlm/zen-reranker")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-reranker") model = AutoModelForCausalLM.from_pretrained("zenlm/zen-reranker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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docs: honest base_model attribution, drop marketing
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Add LICENSE and NOTICE files for license compliance
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Add NOTICE: Copyright Zen Authors
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fix(readme): frontmatter:library_name,tags+=['hanzo'] | body:sub('\\| \\[Zen Max\\]\\(https://huggingface\\.co/zenlm/zen-max\\)[^\\n]*\\n')x1
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Update model card: fix YAML tags, add zen/zenlm branding
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Update model card: add zen/zenlm tags, fix branding
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Update README: Zen Reranker branding and model card
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Duplicate from Qwen/Qwen3-Reranker-4B
Co-authored-by: cheng <littlebird13@users.noreply.huggingface.co>216855d