gistfile1.txt

import time
from sentence_transformers import SentenceTransformer
model = SentenceTransformer(
        f"sentence-transformers/all-MiniLM-L6-v2", device="cpu"
)

suggestion = """
- name: Git checkout
  ansible.builtin.git:
    accept_newhostkey: true
    repo: 'git@github.com:goneri/nowhere.git'
    dest: ~/my-pipeline
- name: Install the dependencies
  package:
    update_cache: true
    name:
      - python3-venv
      - awscli
    state: present
  become: true
- name: Prepare the virtualenv
  ansible.builtin.pip:
    requirements: ~/somewhere/requirements.txt
    virtualenv: ~/venv
    virtualenv_command: /usr/bin/python3 -m ven
"""


start_time = time.time()
encoded = model.encode(sentences=suggestion, batch_size=16)
encode_duration = round((time.time() - start_time) * 1000, 2)
print(encode_duration)