# Huggingface model

**URL:** <https://discuss.huggingface.co/t/huggingface-model/37265>\
**Category:** Beginners\
**Created:** [April 20, 2023, 5:40pm UTC](https://discuss.huggingface.co/t/huggingface-model/37265 "2023-04-20T17:40:05Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![sushmanth](https://avatars.discourse-cdn.com/v4/letter/s/34f0e0/32.png) [@sushmanth](https://discuss.huggingface.co/u/sushmanth)\
**Post date:** [April 20, 2023, 5:40pm UTC](https://discuss.huggingface.co/t/huggingface-model/37265/1 "2023-04-20T17:40:05Z")

</div>

I Have been contributing to the [Devoworm](https://huggingface.co/devoworm-group) organization in hugging face, and have hosted their demo models in hugging face spaces but want to create a hugging face model in the model hub, but I am not sure how to make one.  
could anyone pls tell me the difference between hugging face spaces and model hub, and help out in making a model for [Devoworm](https://huggingface.co/devoworm-group) org in hugging face?

---

<div class="post-metadata">

**Author:** ![radames](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/radames/32/28246_2.png) [@radames](https://discuss.huggingface.co/u/radames)\
**Post date:** [April 20, 2023, 11:23pm UTC](https://discuss.huggingface.co/t/huggingface-model/37265/2 "2023-04-20T23:23:50Z")

</div>

hi @sushmanth,

Spaces is a platform for hosting and sharing ML demos and apps. Many of the apps in Spaces require running ML inference, which involves loading a model. The [Model Hub](https://huggingface.co/docs/hub/models-the-hub) serves as a repository for model checkpoints and can be integrated using the Transformers or Diffusers library, for example, or by using our Hugging Face Hub library to retrieve repository data.

> **[Downloading models](https://huggingface.co/docs/hub/models-downloading)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

You can learn more about our ecosystem here:

> **[Hugging Face Hub documentation](https://huggingface.co/docs/hub/index)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

For example, you could store a reusable model here [devoworm-group/Devolearn · Hugging Face](https://huggingface.co/devoworm-group/Devolearn) and load on your python code via

```python
from huggingface_hub import hf_hub_download

model_file = hf_hub_download(repo_id="devoworm-group/Devolearn", filename='USEFUL_FILE")
# do somthing with model_file

```