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