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

# Huggingface

To use Open Interpreter with Huggingface models, set the `model` flag:

<CodeGroup>
  ```bash Terminal theme={null}
  interpreter --model huggingface/<huggingface-model>
  ```

  ```python Python theme={null}
  from interpreter import interpreter

  interpreter.llm.model = "huggingface/<huggingface-model>"
  interpreter.chat()
  ```
</CodeGroup>

You may also need to specify your Huggingface api base url:

<CodeGroup>
  ```bash Terminal theme={null}
  interpreter --api_base <https://my-endpoint.huggingface.cloud>
  ```

  ```python Python theme={null}
  from interpreter import interpreter

  interpreter.llm.api_base = "https://my-endpoint.huggingface.cloud"
  interpreter.chat()
  ```
</CodeGroup>

# Supported Models

Open Interpreter should work with almost any text based hugging face model.

# Required Environment Variables

Set the following environment variables [(click here to learn how)](https://chat.openai.com/share/1062cdd8-62a1-4aa8-8ec9-eca45645971a) to use these models.

| Environment Variable  | Description                 | Where to Find                                                                      |
| --------------------- | --------------------------- | ---------------------------------------------------------------------------------- |
| `HUGGINGFACE_API_KEY` | Huggingface account API key | [Huggingface -> Settings -> Access Tokens](https://huggingface.co/settings/tokens) |