Views
No views yet
1pip install mlx-lm
2
3from mlx_lm import load, generate
4
5model, tokenizer = load("AdrianReiter/Qwen3-Compliance-Medical-v1")
6
7prompt = """<|im_start|>system
8You are a Regulatory Consultant. Always analyze dependencies and risk before answering.<|im_end|>
9<|im_start|>user
10We want to use an open-source library in our device. What are the risks?<|im_end|>
11<|im_start|>assistant
12"""
13
14response = generate(model, tokenizer, prompt=prompt, verbose=True)
15
16from transformers import AutoModelForCausalLM, AutoTokenizer
17
18model_id = "AdrianReiter/Qwen3-Compliance-Medical-v1"
19tokenizer = AutoTokenizer.from_pretrained(model_id)
20model = AutoModelForCausalLM.from_pretrained(model_id)
21
22# ... use standard pipeline ...