Huggingface model

I Have been contributing to the Devoworm 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 org in hugging face?

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 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.

You can learn more about our ecosystem here:

For example, you could store a reusable model here devoworm-group/Devolearn · Hugging Face and load on your python code via

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