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
Download modules.json from liudev/zerank-2-reranker-nvfp4: direct link, hf CLI and curl.
- Browser
- Download file 281 Bytes
-
https://huggingface.co/liudev/zerank-2-reranker-nvfp4/resolve/main/modules.json
- Command line
-
hf download hf://liudev/zerank-2-reranker-nvfp4/modules.json
-
curl -L -o modules.json https://huggingface.co/liudev/zerank-2-reranker-nvfp4/resolve/main/modules.json
281 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.base.modules.transformer.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_LogitScore", | |
| "type": "sentence_transformers.cross_encoder.modules.logit_score.LogitScore" | |
| } | |
| ] | |