[Bug]: SparseTextEmbedding needs to implement aembed for non-blocking use (async/await)

What happened?

I want to be able to use non-blocking embedding, via "aembed" (async/await). This API is missing in this class, but it is part of the expected contract.

What is the expected behaviour?

When an AsyncQdrantClient is used, aembed can be used (async/await) as well. I am talking about https://github.com/langchain-ai/langchain/issues/32195 and testing the patch https://github.com/langchain-ai/langchain/pull/32196/files#r2226270515

I tried a hybrid search and, fair enough, "aembed" works fine with the dense variation but not with the sparse one (fast-sparse-bm25)

A minimal reproducible example

from fastembed.sparse.sparse_text_embedding import SparseTextEmbedding

embedding = SparseTextEmbedding('Qdrant/bm25')
embedding.aembed_query("foo bar")

    embedding.aembed_query("foo bar")
    ^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'SparseTextEmbedding' object has no attribute 'aembed_query'

What Python version are you on? e.g. python --version

Python 3.11.10

FastEmbed version

fastembed==0.7.1

What os are you seeing the problem on?

MacOS

Relevant stack traces and/or logs

Start in fastembed/sparse/sparse_text_embedding.py and compare the sparse class's public API with the async usage shown in the report. Reproduce SparseTextEmbedding('Qdrant/bm25').aembed_query("foo bar") and verify that async/await use no longer raises AttributeError; the expected behavior is an available non-blocking embedding method.