File size: 1,029 Bytes
15f480f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | ---
license: apache-2.0
language:
- en
base_model: zeroentropy/zerank-2-reranker
pipeline_tag: text-ranking
tags:
- finance
- legal
- code
- stem
- medical
- mlx
- mlx-my-repo
library_name: sentence-transformers
model_max_length: 32768
---
# k8smee/zerank-2-reranker-mlx-8Bit
The Model [k8smee/zerank-2-reranker-mlx-8Bit](https://huggingface.co/k8smee/zerank-2-reranker-mlx-8Bit) was converted to MLX format from [zeroentropy/zerank-2-reranker](https://huggingface.co/zeroentropy/zerank-2-reranker) using mlx-lm version **0.31.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("k8smee/zerank-2-reranker-mlx-8Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
|