code: def paraphrase_mining(
      model,
      sentences: List[str],
      show_progress_bar: bool = False,
      batch_size: int = 32,
      *args,
      **kwargs,
  ) -> List[List[Union[float, int]]]:
      """
      Given a list of sentences / texts, this function performs paraphrase mining. It compares all sentences against all
      other sentences and returns a list with the pairs that have the highest cosine similarity score.
  
      :param model: SentenceTransformer model for embedding computation
      :param sentences: A list of strings (texts or sentences)
      :param show_progress_bar: Plotting of a progress bar
      :param batch_size: Number of texts that are encoded simultaneously by the model
      :param query_chunk_size: Search for most similar pairs for #query_chunk_size at the same time. Decrease, to lower memory footprint (increases run-time).
      :param corpus_chunk_size: Compare a sentence simultaneously against #corpus_chunk_size other sentences. Decrease, to lower memory footprint (increases run-time).
      :param max_pairs: Maximal number of text pairs returned.
      :param top_k: For each sentence, we retrieve up to top_k other sentences
      :param score_function: Function for computing scores. By default, cosine similarity.
      :return: Returns a list of triplets with the format [score, id1, id2]
      """
  
      # Compute embedding for the sentences
      embeddings = model.encode(
          sentences,
          show_progress_bar=show_progress_bar,
          batch_size=batch_size,
          convert_to_tensor=True,
      )
  
      return paraphrase_mining_embeddings(embeddings, *args, **kwargs)
  
imports: import functools
  import requests
  from torch import Tensor, device
  from typing import List, Callable
  from tqdm.autonotebook import tqdm
  import sys
  import importlib
  import os
  import torch
  import numpy
  import queue
  import logging
  from typing import Dict, Optional, Union
  from huggingface_hub import snapshot_download, hf_hub_download
  import heapq
label_desc: Use image node_id 7 for calling a global function with example usage: paraphrase_mining(model, sentences, show_progress_bar, batch_size) and returns: paraphrase_mining_embeddings