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
File size: 362 Bytes
0c6cb44 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"transformer_task": "text-generation",
"modality_config": {
"text": {
"method": "forward",
"method_output_name": "logits"
},
"message": {
"method": "forward",
"method_output_name": "logits",
"format": "flat"
}
},
"module_output_name": "causal_logits"
} |