> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-devupd-1765394015-eccef47.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Instruct Embeddings on Hugging Face

> [Hugging Face sentence-transformers](https://huggingface.co/sentence-transformers) is a Python framework for state-of-the-art sentence, text and image embeddings.
> One of the instruct embedding models is used in the `HuggingFaceInstructEmbeddings` class.

```python theme={null}
from langchain_community.embeddings import HuggingFaceInstructEmbeddings
```

```python theme={null}
embeddings = HuggingFaceInstructEmbeddings(
    query_instruction="Represent the query for retrieval: "
)
```

```output theme={null}
load INSTRUCTOR_Transformer
max_seq_length  512
```

```python theme={null}
text = "This is a test document."
```

```python theme={null}
query_result = embeddings.embed_query(text)
```

```python theme={null}
```

***

<Callout icon="pen-to-square" iconType="regular">
  [Edit the source of this page on GitHub.](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/text_embedding/instruct_embeddings.mdx)
</Callout>

<Tip icon="terminal" iconType="regular">
  [Connect these docs programmatically](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
</Tip>
