mxbai-rerank-large-v2/README.md

library_name, license, language, language_bcp47, pipeline_tag, tags, base_model

library_name	license	language	language_bcp47	pipeline_tag	tags	base_model
mlx	apache-2.0	af am ar as az be bg bn br bs ca cs cy da de el en eo es et eu fa ff fi fr fy ga gd gl gn gu ha he hi hr ht hu hy id ig is it ja jv ka kk km kn ko ku ky la lg li ln lo lt lv mg mk ml mn mr ms my ne nl no ns om or pa pl ps pt qu rm ro ru sa sc sd si sk sl so sq sr ss su sv sw ta te th tl tn tr ug uk ur uz vi wo xh yi yo zh zu	bn-Latn hi-Latn my-x-zawgyi ta-Latn te-Latn ur-Latn zh-Hans zh-Hant	text-generation	mlx	mixedbread-ai/mxbai-rerank-large-v2

mlx-community/mxbai-rerank-large-v2

This model mlx-community/mxbai-rerank-large-v2 was converted to MLX format from mixedbread-ai/mxbai-rerank-large-v2 using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/mxbai-rerank-large-v2")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)