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
- Xet hash:
- 314b4d25badff95c06fb1b76ada8bd361127a9da47ac9528d8ef264679e5add9
- Size of remote file:
- 4.06 GB
- SHA256:
- d2163b74137e35b4614bd2aa5bf27bcb07de4ca61c6962495feb968385eb0df8
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