[FEATURE] Only require model_id once to save a model

[HenryL27]

Is your feature request related to a problem?
In order to save an embedding model (which I will then upload to my OS cluster) I need to do the following steps:

model_name = Path(model_id).name
model = SentenceTransformerModel(
    model_id=model_id,
    folder_path=f"/tmp/{model_name}"
)
model.save_as_pt(
    sentences=["dummy sentence"],
    model_id=model_id,
    save_json_folder_path=f"/tmp/{model_name}"
)
mconfig_path = model.make_model_config_json(model.model_id, )
ml_client.register_model(
    model_path=f"/tmp/{model_name}/{model_name}.zip",
    model_config_path=mconfig_path
)

If I don't specify the model id (huggingface id) in both places I end up with "sentence-transformers/msmarco-distilbert-base-tas-b", presumably because that's what they used in that blog post. This can be smoother.

What solution would you like?
I would like to EITHER 1/ only provide the model_id when I instantiate the SentenceTransformerModel and it gets used in all class methods where applicable, rather than randomly defaulting back to "distilbert-tas-b" OR 2/ use save_as_pt as a static method and never instantiate the class at all. Also it would be nice if I could specify the output location of make_model_config_json.

What alternatives have you considered?
A clear and concise description of any alternative solutions or features you've considered.

Do you have any additional context?
Add any other context or screenshots about the feature request here.

[Vinay-Vinod]

Can I be assigned to this issue

[dhrubo-os]

sure assigned it to you @Vinay-Vinod