Hi - I’m considering using the HF hub to store our team’s models/datasets all set to private but I have a few questions that I couldn’t find answers to:
- Is there a storage limit for privately hosted models/datasets (assuming we follow the <5GB chunk size recommendation)
- …or a threshold above which the storage stops being free?
- How (if at all) does this usage pattern differ to use of the PrivateHub described here: Introducing the Private Hub: A New Way to Build With Machine Learning
For context - we intend to make a subset of these models/datasets public but we aren’t ready to do that yet
Thanks in advance!