# Search the Hub

In this tutorial, you will learn how to search models, datasets and spaces on the Hub using `huggingface_hub`.

## How to list repositories ?

`huggingface_hub` library includes an HTTP client [HfApi](/docs/huggingface_hub/v1.12.1/en/package_reference/hf_api#huggingface_hub.HfApi) to interact with the Hub.
Among other things, it can list models, datasets and spaces stored on the Hub:

```py
>>> from huggingface_hub import HfApi
>>> api = HfApi()
>>> models = api.list_models()
```

The output of [list_models()](/docs/huggingface_hub/v1.12.1/en/package_reference/hf_api#huggingface_hub.HfApi.list_models) is an iterator over the models stored on the Hub.

Similarly, you can use [list_datasets()](/docs/huggingface_hub/v1.12.1/en/package_reference/hf_api#huggingface_hub.HfApi.list_datasets) to list datasets and [list_spaces()](/docs/huggingface_hub/v1.12.1/en/package_reference/hf_api#huggingface_hub.HfApi.list_spaces) to list Spaces.

## How to filter repositories ?

Listing repositories is great but now you might want to filter your search.
The list helpers have several attributes like:
- `filter`
- `author`
- `search`
- `num_parameters`
- ...

Let's see an example to get all models on the Hub that does image classification, have been trained on the imagenet dataset and that runs with PyTorch.

```py
models = hf_api.list_models(filter=["image-classification", "pytorch", "imagenet"])
```

You can also filter models by parameter count using the same range syntax as the Hub UI:

```py
models = hf_api.list_models(num_parameters="min:6B,max:128B")
```

While filtering, you can also sort the models and take only the top results. For example,
the following example fetches the top 5 most downloaded datasets on the Hub:

```py
>>> list(list_datasets(sort="downloads", limit=5))
[DatasetInfo(
	id='argilla/databricks-dolly-15k-curated-en',
	author='argilla',
	sha='4dcd1dedbe148307a833c931b21ca456a1fc4281',
	last_modified=datetime.datetime(2023, 10, 2, 12, 32, 53, tzinfo=datetime.timezone.utc),
	private=False,
	downloads=8889377,
	(...)
```

To explore available filters on the Hub, visit [models](https://huggingface.co/models) and [datasets](https://huggingface.co/datasets) pages
in your browser, search for some parameters and look at the values in the URL.

## Using the CLI

You can also list and search for models, datasets, and Spaces using the `hf` command-line interface:

```bash
# List models
>>> hf models ls --search "llama" --sort downloads --limit 5

# List datasets
>>> hf datasets ls --author Qwen

# List Spaces
>>> hf spaces ls --search "3d"

# Get info about a specific model
>>> hf models info Lightricks/LTX-2
```

For more details, see the [CLI guide](./cli#hf-models).