Hugging Face Hub Python Library

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Hugging Face Hub Python Library is a game-changer for developers looking to harness the power of machine learning. With a focus on simplicity and efficiency, it allows users to easily manage and share models, making collaboration seamless and innovative. Dive in and elevate your AI projects!

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Hugging Face Hub Python Library's llms.txt Insights

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What's inside Hugging Face Hub Python Library's llms.txt

Hugging Face Hub Python Library's llms.txt contains 10 sections:

  • Installation
  • Install with pip
  • Install optional dependencies
  • Install dependencies for tensorflow-specific features
  • /!\ Warning: this is not equivalent to `pip install tensorflow`
  • Install dependencies for both torch-specific and CLI-specific features.
  • Install from source
  • Editable install
  • First, clone repo locally
  • Then, install with -e flag

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Lines7,6011029163,447
Sections170173207

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Hugging Face Hub Python Library's llms.txt preview

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# Installation

Before you start, you will need to setup your environment by installing the appropriate packages.

`huggingface_hub` is tested on **Python 3.8+**.

## Install with pip

It is highly recommended to install `huggingface_hub` in a [virtual environment](https://docs.python.org/3/library/venv.html).
If you are unfamiliar with Python virtual environments, take a look at this [guide](https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/).
A virtual environment makes it easier to manage different projects, and avoid compatibility issues between dependencies.

Start by creating a virtual environment in your project directory:

```bash
python -m venv .env
```

Activate the virtual environment. On Linux and macOS:

```bash
source .env/bin/activate
```

Activate virtual environment on Windows:

```bash
.env/Scripts/activate
```

Now you're ready to install `huggingface_hub` [from the PyPi registry](https://pypi.org/project/huggingface-hub/):

```bash
pip install --upgrade huggingface_hub
```

Once done, [check installation](#check-installation) is working correctly.

### Install optional dependencies

Some dependencies of `huggingface_hub` are [optional](https://setuptools.pypa.io/en/latest/userguide/dependency_management.html#optional-dependencies) because they are not required to run the core features of `huggingface_hub`. However, some features of the `huggingface_hub` may not be available if the optional dependencies aren't installed.

You can install optional dependencies via `pip`:
```bash
# Install dependencies for tensorflow-specific features
# /!\ Warning: this is not equivalent to `pip install tensorflow`
pip install 'huggingface_hub[tensorflow]'

# Install dependencies for both torch-specific and CLI-specific features.
pip install 'huggingface_hub[cli,torch]'
```

Here is the list of optional dependencies in `huggingface_hub`:
- `cli`: provide a more convenient CLI interface for `huggingface_hub`.
- `fastai`, `torch`, `tensorflow`: dependencies to run framework-specific features.
- `dev`: dependencies to contribute to the lib. Includes `testing` (to run tests), `typing` (to run type checker) and `quality` (to run linters).



### Install from source

In some cases, it is interesting to install `huggingface_hub` directly from source.
This allows you to use the bleeding edge `main` version rather than the latest stable version.
The `main` version is useful for staying up-to-date with the latest developments, for instance
if a bug has been fixed since the last official release but a new release hasn't been rolled out yet.

However, this means the `main` version may not always be stable. We strive to keep the
`main` version operational, and most issues are usually resolved
within a few hours or a day. If you run into a problem, please open an Issue so we can
fix it even sooner!

```bash
pip install git+https://github.com/huggingface/huggingface_hub
```

When installing from source, you can also specify a specific branch. This is useful if you
want to test a new feature or a new bug-fix that has not been merged yet:

```bash
pip install git+https://github.com/huggingface/huggingface_hub@my-feature-branch
```

Once done, [check installation](#check-installation) is working correctly.

### Editable install

Installing from source allows you to setup an [editable install](https://pip.pypa.io/en/stable/topics/local-project-installs/#editable-installs).
This is a more advanced installation if you plan to contribute to `huggingface_hub`
and need to test changes in the code. You need to clone a local copy of `huggingface_hub`
on your machine.

```bash
# First, clone repo locally
git clone https://github.com/huggingface/huggingface_hub.git

# Then, install with -e flag
cd huggingface_hub
pip install -e .
```

What is llms.txt?

llms.txt is an open standard that helps AI language models understand your website. By placing a structured markdown file at /llms.txt, websites provide AI search engines like ChatGPT, Claude, and Perplexity with a clear map of their content, services, and documentation. Companies like Hugging Face Hub Python Library use it to ensure AI accurately represents their brand when answering user queries. Read the spec.

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