# HuggingFaceEmbeddings

> **Class** in `langchain_huggingface`

📖 [View in docs](https://reference.langchain.com/python/langchain-huggingface/embeddings/huggingface/HuggingFaceEmbeddings)

HuggingFace sentence_transformers embedding models.

To use, you should have the `sentence_transformers` python package installed.

## Signature

```python
HuggingFaceEmbeddings(
    self,
    **kwargs: Any = {},
)
```

## Description

**Example:**

```python
from langchain_huggingface import HuggingFaceEmbeddings

model_name = "sentence-transformers/all-mpnet-base-v2"
model_kwargs = {"device": "cpu"}
encode_kwargs = {"normalize_embeddings": False}
hf = HuggingFaceEmbeddings(
    model_name=model_name,
    model_kwargs=model_kwargs,
    encode_kwargs=encode_kwargs,
)
```

## Extends

- `BaseModel`
- `Embeddings`

## Constructors

```python
__init__(
    self,
    **kwargs: Any = {},
)
```


## Properties

- `model_name`
- `cache_folder`
- `model_kwargs`
- `encode_kwargs`
- `query_encode_kwargs`
- `multi_process`
- `show_progress`
- `model_config`

## Methods

- [`embed_documents()`](https://reference.langchain.com/python/langchain-huggingface/embeddings/huggingface/HuggingFaceEmbeddings/embed_documents)
- [`embed_query()`](https://reference.langchain.com/python/langchain-huggingface/embeddings/huggingface/HuggingFaceEmbeddings/embed_query)

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[View source on GitHub](https://github.com/langchain-ai/langchain/blob/02991cb4cf2063d51a07268edafb05fe53de1826/libs/partners/huggingface/langchain_huggingface/embeddings/huggingface.py#L18)