Fix LanguageBind models normalization parameters parse

[wanliAlex]

• What kind of change does this PR introduce? (Bug fix, feature, docs update, ...)
  bug fix

• What is the current behavior? (You can also link to an open issue here)
  we are having an issue if we call vectorise on a language bind model. we see:

    on_start(_config)
  File "/app/src/marqo/tensor_search/on_start_script.py", line 45, in on_start
    thing_to_start.run()
  File "/app/src/marqo/tensor_search/on_start_script.py", line 180, in run
    _ = _preload_model(model=model, content=test_string, device=device)
  File "/app/src/marqo/tensor_search/on_start_script.py", line 278, in _preload_model
    _ = vectorise(
  File "/app/src/marqo/s2_inference/s2_inference.py", line 72, in vectorise
    return _vectorise_without_cache(model_cache_key, content, normalize_embeddings, modality, media_download_headers,
  File "/app/src/marqo/s2_inference/s2_inference.py", line 135, in _vectorise_without_cache
    return _encode_without_cache(model_cache_key, content, normalize_embeddings, modality, media_download_headers, **kwargs)
  File "/app/src/marqo/s2_inference/s2_inference.py", line 146, in _encode_without_cache
    vectorised = model.encode(
  File "/app/src/marqo/s2_inference/multimodal_model_load.py", line 116, in encode
    print(**kwargs)
TypeError: 'normalize' is an invalid keyword argument for print()

• What is the new behavior (if this is a feature change)?
  we fix the bug

• Does this PR introduce a breaking change? (What changes might users need to make in their application due to this PR?)
  no

• Have unit tests been run against this PR? (Has there also been any additional testing?)

no

• Related Python client changes (link commit/PR here)
  no

• Related documentation changes (link commit/PR here)
  no

• Other information:
  no

• Please check if the PR fulfills these requirements

• The commit message follows our guidelines
• Tests for the changes have been added (for bug fixes/features)
• Docs have been added / updated (for bug fixes / features)