text: Title: topic_model.transform(docs)[0][i] is sometimes different from topic_model.transform(docs[i])[0][0]
  Body: Hello
  
  I read https://maartengr.github.io/BERTopic/api/bertopic.html#bertopic._bertopic.BERTopic.transform and understood from the documents parameter (described as "A single document or a list of documents to predict on") that I could submit a list of documents or a single document and still receive the same result when predicting with a fitted model.
  
  I found that this is not true. Am I overlooking something?
  
  Below you find a minimal working example
  
  ```
  from bertopic import BERTopic
  from sklearn.datasets import fetch_20newsgroups
  
  docs = fetch_20newsgroups(subset='all')['data'][:200]
  topic_model = BERTopic().fit(docs)
  topics,_=topic_model.transform(docs)
  
  import numpy as np
  topics=np.array(topics)
  
  
  #calling the model with a single document several times
  import tqdm
  
  topics_single = []
  for doc in tqdm.tqdm(docs):
      topic, _ = topic_model.transform([doc])
      topics_single.append(topic[0])
  topics_single = np.array(topics_single)
  
  mask_identical = topics_single == topics
  percentage_equal = 100 * np.sum(mask_identical) / len(mask_identical)
  print(f"{percentage_equal=}%") #returns for example about 60%, but varying
  
  
  #loop till finding a different entry
  for i in range(len(docs)):
      print(
          i,
          topic_model.transform(docs[i])[0][0],
          topic_model.transform([docs[i]])[0][0],
          topics[i],
          topic_model.transform(docs)[0][i],
      )
      if topic_model.transform(docs[i])[0][0] != topic_model.transform(docs)[0][i]:
          print(f"Different outcome at iteration {i}")
          break
  ```
  
  The repeated execution with the same documents seems fine:
  ```
  topics2,_=topic_model.transform(docs)
  percentage_equal_executed_with_multiple_docs = 100*np.sum(np.array(topics2)==topics)/len(topics)
  print(f"{percentage_equal_executed_with_multiple_docs=}%") #this gives 100%
  ```
  
  ![topic frequency](https://github.com/MaartenGr/BERTopic/assets/5189693/b9db0e45-8987-4811-97e5-508045ce7ae2)
  
  Thank you in advance!
  
  PS:
  The python version is 3.10.12
  The list of installed packages is
  
  ```
  absl-py==1.0.0
  accelerate==0.23.0
  adagio==0.2.4
  aiohttp==3.8.6
  aiosignal==1.3.1
  ansi2html==1.9.1
  antlr4-python3-runtime==4.11.1
  anyio==3.5.0
  appdirs==1.4.4
  arch==6.2.0
  argon2-cffi==21.3.0
  argon2-cffi-bindings==21.2.0
  astor==0.8.1
  asttokens==2.0.5
  astunparse==1.6.3
  async-timeout==4.0.3
  attrs==22.1.0
  audioread==3.0.1
  azure-core==1.29.1
  azure-cosmos==4.3.1
  azure-storage-blob==12.19.0
  azure-storage-file-datalake==12.14.0
  backcall==0.2.0
  bcrypt==3.2.0
  beautifulsoup4==4.11.1
  bertopic==0.16.0
  black==22.6.0
  bleach==4.1.0
  blinker==1.4
  blis==0.7.11
  boto3==1.24.28
  botocore==1.27.96
  cachetools==5.3.2
  catalogue==2.0.10
  category-encoders==2.6.2
  certifi==2022.12.7
  cffi==1.15.1
  chardet==4.0.0
  charset-normalizer==2.0.4
  click==8.1.7
  cloudpathlib==0.16.0
  cloudpickle==2.0.0
  cmake==3.27.7
  cmdstanpy==1.2.0
  comm==0.1.2
  confection==0.1.3
  configparser==5.2.0
  contourpy==1.0.5
  cryptography==39.0.1
  cycler==0.11.0
  cymem==2.0.8
  Cython==0.29.32
  dacite==1.8.1
  dash==2.14.2
  dash-core-components==2.0.0
  dash-html-components==2.0.0
  dash-table==5.0.0
  dask==2023.12.0
  databricks-automl-runtime==0.2.20
  databricks-cli==0.18.0
  databricks-feature-engineering==0.1.2
  databricks-feature-store==0.16.1
  databricks-sdk==0.1.6
  dataclasses-json==0.6.2
  datasets==2.14.5
  dbl-tempo==0.1.26
  dbus-python==1.2.18
  debugpy==1.6.7
  decorator==5.1.1
  deepspeed==0.11.1
  defusedxml==0.7.1
  dill==0.3.6
  diskcache==5.6.3
  distlib==0.3.7
  distributed==2023.12.0
  distro==1.7.0
  distro-info==1.1+ubuntu0.1
  docstring-to-markdown==0.11
  dtw-python==1.3.0
  einops==0.7.0
  entrypoints==0.4
  evaluate==0.4.1
  executing==0.8.3
  facets-overview==1.1.1
  fastjsonschema==2.19.0
  fasttext==0.9.2
  filelock==3.9.0
  filterpy==1.4.5
  flash-attn==2.3.2
  Flask==2.2.5
  flatbuffers==23.5.26
  fonttools==4.25.0
  frozenlist==1.4.0
  fs==2.4.16
  fsspec==2023.6.0
  fugue==0.8.7
  fugue-sql-antlr==0.2.0
  future==0.18.3
  gast==0.4.0
  gitdb==4.0.11
  GitPython==3.1.27
  gluonts==0.14.3
  google-api-core==2.14.0
  google-auth==2.21.0
  google-auth-oauthlib==1.0.0
  google-cloud-core==2.3.3
  google-cloud-storage==2.11.0
  google-crc32c==1.5.0
  google-pasta==0.2.0
  google-resumable-media==2.6.0
  googleapis-common-protos==1.61.0
  greenlet==2.0.1
  grpcio==1.48.2
  grpcio-status==1.48.1
  gunicorn==20.1.0
  gviz-api==1.10.0
  h5py==3.7.0
  hdbscan==0.8.33
  hjson==3.1.0
  hmmlearn==0.3.0
  holidays==0.35
  horovod==0.28.1
  htmlmin==0.1.12
  httplib2==0.20.2
  huggingface-hub==0.16.4
  idna==3.4
  ImageHash==4.3.1
  imbalanced-learn==0.11.0
  importlib-metadata==7.0.0
  importlib-resources==6.1.1
  ipykernel==6.25.0
  ipython==8.14.0
  ipython-genutils==0.2.0
  ipywidgets==7.7.2
  isodate==0.6.1
  itsdangerous==2.0.1
  jedi==0.18.1
  jeepney==0.7.1
  Jinja2==3.1.2
  jmespath==0.10.0
  joblib==1.2.0
  joblibspark==0.5.1
  jsonpatch==1.33
  jsonpointer==2.4
  jsonschema==4.17.3
  jupyter-client==7.3.4
  jupyter-server==1.23.4
  jupyter_core==5.2.0
  jupyterlab-pygments==0.1.2
  jupyterlab-widgets==1.0.0
  keras==2.14.0
  keras-self-attention==0.51.0
  keyring==23.5.0
  kiwisolver==1.4.4
  kotsu==0.3.3
  langchain==0.0.314
  langcodes==3.3.0
  langsmith==0.0.64
  launchpadlib==1.10.16
  lazr.restfulclient==0.14.4
  lazr.uri==1.0.6
  lazy_loader==0.3
  libclang==15.0.6.1
  librosa==0.10.1
  lightgbm==4.1.0
  lit==17.0.5
  llvmlite==0.39.1
  locket==1.0.0
  lxml==4.9.1
  Mako==1.2.0
  Markdown==3.4.1
  MarkupSafe==2.1.1
  marshmallow==3.20.1
  matplotlib==3.7.0
  matplotlib-inline==0.1.6
  mccabe==0.7.0
  mistune==0.8.4
  ml-dtypes==0.2.0
  mlflow-skinny==2.8.0
  mne==1.6.0
  more-itertools==8.10.0
  mpmath==1.2.1
  msgpack==1.0.7
  multidict==6.0.4
  multimethod==1.10
  multiprocess==0.70.14
  murmurhash==1.0.10
  mypy-extensions==0.4.3
  nbclassic==0.5.2
  nbclient==0.5.13
  nbconvert==6.5.4
  nbformat==5.7.0
  nest-asyncio==1.5.6
  networkx==2.8.4
  ninja==1.11.1.1
  nltk==3.7
  nodeenv==1.8.0
  notebook==6.5.2
  notebook_shim==0.2.2
  numba==0.56.4
  numpy==1.23.5
  oauthlib==3.2.0
  openai==0.28.1
  opt-einsum==3.3.0
  packaging==22.0
  pandas==1.5.3
  pandocfilters==1.5.0
  paramiko==2.9.2
  parso==0.8.3
  partd==1.4.1
  pathspec==0.10.3
  pathy==0.10.3
  patsy==0.5.3
  petastorm==0.12.1
  pexpect==4.8.0
  phik==0.12.3
  pickleshare==0.7.5
  Pillow==9.4.0
  platformdirs==2.5.2
  plotly==5.9.0
  pluggy==1.0.0
  pmdarima==2.0.3
  polars==0.19.19
  pooch==1.8.0
  preshed==3.0.9
  prompt-toolkit==3.0.36
  prophet==1.1.5
  protobuf==4.24.0
  psutil==5.9.0
  psycopg2==2.9.3
  ptyprocess==0.7.0
  pure-eval==0.2.2
  py-cpuinfo==9.0.0
  pyaml==23.9.7
  pyarrow==8.0.0
  pyarrow-hotfix==0.5
  pyasn1==0.4.8
  pyasn1-modules==0.2.8
  pybind11==2.11.1
  pycatch22==0.4.2
  pycparser==2.21
  pydantic==1.10.6
  pyflakes==3.1.0
  Pygments==2.11.2
  PyGObject==3.42.1
  PyJWT==2.3.0
  pykalman-bardo==0.9.7
  PyNaCl==1.5.0
  pynndescent==0.5.11
  pyod==1.1.2
  pyodbc==4.0.32
  pyparsing==3.0.9
  pyright==1.1.294
  pyrsistent==0.18.0
  pytesseract==0.3.10
  python-apt==2.4.0+ubuntu2
  python-dateutil==2.8.2
  python-editor==1.0.4
  python-lsp-jsonrpc==1.1.1
  python-lsp-server==1.8.0
  pytoolconfig==1.2.5
  pytz==2022.7
  PyWavelets==1.4.1
  PyYAML==6.0
  pyzmq==23.2.0
  qpd==0.4.4
  regex==2022.7.9
  requests==2.28.1
  requests-oauthlib==1.3.1
  responses==0.18.0
  retrying==1.3.4
  rope==1.7.0
  rsa==4.9
  s3transfer==0.6.2
  safetensors==0.4.0
  scikit-base==0.6.1
  scikit-learn==1.1.1
  scikit-optimize==0.9.0
  scikit-posthocs==0.8.0
  scipy==1.10.0
  seaborn==0.12.2
  seasonal==0.3.1
  SecretStorage==3.3.1
  Send2Trash==1.8.0
  sentence-transformers==2.2.2
  sentencepiece==0.1.99
  shap==0.43.0
  simplejson==3.17.6
  six==1.16.0
  skpro==2.1.1
  sktime==0.24.1
  slicer==0.0.7
  smart-open==5.2.1
  smmap==5.0.0
  sniffio==1.2.0
  sortedcontainers==2.4.0
  soundfile==0.12.1
  soupsieve==2.3.2.post1
  soxr==0.3.7
  spacy==3.7.1
  spacy-legacy==3.0.12
  spacy-loggers==1.0.5
  spark-tensorflow-distributor==1.0.0
  SQLAlchemy==1.4.39
  sqlglot==20.2.0
  sqlparse==0.4.2
  srsly==2.4.8
  ssh-import-id==5.11
  stack-data==0.2.0
  stanio==0.3.0
  statsforecast==1.6.0
  statsmodels==0.13.5
  stumpy==1.12.0
  sympy==1.11.1
  tabulate==0.8.10
  tangled-up-in-unicode==0.2.0
  tbats==1.1.3
  tblib==3.0.0
  tenacity==8.1.0
  tensorboard==2.14.0
  tensorboard-data-server==0.7.2
  tensorboard-plugin-profile==2.14.0
  tensorflow==2.14.0
  tensorflow-estimator==2.14.0
  tensorflow-io-gcs-filesystem==0.34.0
  termcolor==2.3.0
  terminado==0.17.1
  thinc==8.2.1
  threadpoolctl==2.2.0
  tiktoken==0.5.1
  tinycss2==1.2.1
  tokenize-rt==4.2.1
  tokenizers==0.14.0
  tomli==2.0.1
  toolz==0.12.0
  torch==2.0.1+cu118
  torchvision==0.15.2+cu118
  tornado==6.1
  tqdm==4.64.1
  traitlets==5.7.1
  transformers==4.34.0
  triad==0.9.3
  triton==2.0.0
  tsfresh==0.20.1
  tslearn==0.5.3.2
  typeguard==2.13.3
  typer==0.9.0
  typing-inspect==0.9.0
  typing_extensions==4.4.0
  ujson==5.4.0
  umap-learn==0.5.5
  unattended-upgrades==0.1
  urllib3==1.26.14
  virtualenv==20.16.7
  visions==0.7.5
  wadllib==1.3.6
  wasabi==1.1.2
  wcwidth==0.2.5
  weasel==0.3.4
  webencodings==0.5.1
  websocket-client==0.58.0
  Werkzeug==2.2.2
  whatthepatch==1.0.2
  widgetsnbextension==3.6.1
  wordcloud==1.9.2
  wrapt==1.14.1
  xarray==2023.12.0
  xgboost==1.7.6
  xxhash==3.4.1
  yapf==0.33.0
  yarl==1.9.2
  ydata-profiling==4.2.0
  zict==3.0.0
  zipp==3.11.0
  ```
  