fix: update HuggingFaceEmbeddingEncoder to use langchain_huggingface instead of langchain-community

[christinestraub]

Similar to #3433.

Summary

This PR aims to update HuggingFaceEmbeddingEncoder to use HuggingFaceEmbeddings from langchain_huggingface package instead of the deprecated version from langchain-community. This resolves the deprecation warning and ensures compatibility with future versions of langchain.

Testing

from unstructured.documents.elements import Text
from unstructured.embed.huggingface import HuggingFaceEmbeddingConfig, HuggingFaceEmbeddingEncoder

embedding_encoder = HuggingFaceEmbeddingEncoder(
    config=HuggingFaceEmbeddingConfig()
)
elements = embedding_encoder.embed_documents(
    elements=[Text("This is sentence 1"), Text("This is sentence 2")],
)

query = "This is the query"
query_embedding = embedding_encoder.embed_query(query=query)

[print(e.embeddings, e) for e in elements]
print(query_embedding, query)
print(embedding_encoder.is_unit_vector(), embedding_encoder.num_of_dimensions())

Expected behavior
No deprecation warning should be displayed. The code should use the updated HuggingFaceEmbeddings class from the langchain_huggingface package.

[scanny]

LGTM :)