Text Ranking
Transformers
Safetensors
English
Chinese
qwen3
text-generation
rerank
nvfp4
compressed-tensors
finance
legal
code
stem
medical
8-bit precision
Instructions to use liudev/zerank-2-reranker-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liudev/zerank-2-reranker-nvfp4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("liudev/zerank-2-reranker-nvfp4") model = AutoModelForCausalLM.from_pretrained("liudev/zerank-2-reranker-nvfp4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 281 Bytes
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{
"idx": 0,
"name": "0",
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"type": "sentence_transformers.base.modules.transformer.Transformer"
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{
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"path": "1_LogitScore",
"type": "sentence_transformers.cross_encoder.modules.logit_score.LogitScore"
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