Feature request

when initializing with SentenceTransformers, we can use the truncate_dim argument, like below:
model = SentenceTransformer("mixedbread-ai/mxbai-embed-large-v1", truncate_dim=dimensions)

and in calling OpenAI text-embedding-3, we can also pass a `` argument to get variant-length embeddings

dimensions integer Optional The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.
see also: https://platform.openai.com/docs/api-reference/embeddings/create#embeddings-create-dimensions

Motivation

more and more embedding models are supporting Matryoshka embeddings, namely allowing users to get dimensions of varying length, like mxbai-embed-large-v1, jina-embeddings-v3 etc.
this is very useful in scenarios with limited resources. hope it could be supported. Thanks.

Your contribution

I guess it's not a big modification. I may be able to add this feature when I'm told where to modify. Thanks.