> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-opensw-1774858546-a100bff.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# HuggingFace hub integration

> Integrate with the HuggingFace hub tool using LangChain Python.

> [Huggingface Tools](https://huggingface.co/docs/transformers/v4.29.0/en/custom_tools) that supporting text I/O can be
> loaded directly using the `load_huggingface_tool` function.

```python theme={null}
# Requires transformers>=4.29.0 and huggingface_hub>=0.14.1
pip install -qU  transformers huggingface_hub > /dev/null
```

```python theme={null}
pip install -qU  langchain-community
```

```python theme={null}
from langchain_community.agent_toolkits.load_tools import load_huggingface_tool

tool = load_huggingface_tool("lysandre/hf-model-downloads")

print(f"{tool.name}: {tool.description}")
```

```text theme={null}
model_download_counter: This is a tool that returns the most downloaded model of a given task on the Hugging Face Hub. It takes the name of the category (such as text-classification, depth-estimation, etc), and returns the name of the checkpoint
```

```python theme={null}
tool.run("text-classification")
```

```text theme={null}
'facebook/bart-large-mnli'
```

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

***

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