> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neum.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# HuggingFaceEmbed

> The HuggingFaceEmbed connector is designed to generate embeddings for text data using Hugging Face hosted emedding models.

Access the plethora of open-source models hosted through Hugging face using the `HuggingFaceEmbed` connector.

<Note>Looking for embedding models in HuggingFace? Here is a great place to start: [MTEB Leaderboard](https://huggingface.co/spaces/mteb/leaderboard)</Note>

## Properties

Required properties:

* model: HuggingFace model ID or a URL to a deployed Inference Endpoint.
* token: HuggingFace token.

<CodeGroup>
  ```python Local Development
  from neumai.EmbedConnectors import HuggingFaceEmbed

  azure_openai_embed = HuggingFaceEmbed(
      model = "model_id_or_url",
      token = "huggingface_token"
  )

  ```
</CodeGroup>