code: def load_kmeans_model(checkpoint_path: str):
      with open(checkpoint_path, "rb") as fd:
          with warnings.catch_warnings():
              # produces lots of version warnings which can be annoying when we have many workers
              warnings.simplefilter("ignore")
              kmeans_model = joblib.load(fd)
              # some of the GSLM checkpoints (CPC) were saved under a different scikit version
              if not hasattr(kmeans_model, "_n_threads"):
                  kmeans_model._n_threads = 40
  
      kmeans_model.verbose = False
      return kmeans_model
  
file_path: textlesslib/textless/data/kmeans_quantizer.py
imports: import torch
  import joblib
  import warnings
label_desc: Use image node_id 5 for calling the KMeansQuantizer obj's underlying member method code with example usage: obj.load_kmeans_model(checkpoint_path) and returns: kmeans_model