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:
- d5079a6c0ddad3c5b35248b7265ffb87b900173e0d2ec748c8980faca4a9d4bc
- Size of remote file:
- 1.24 GB
- SHA256:
- 8ba41b93c2e4ec8339ad16b000bc977fde196aeac054956cbfc8c0186ee6d4cf
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