v0.0.7: Networking improvements + PyTorch mixin

• Networking improvements by @Pierrci and @lhoestq (#21 and #22)

• Adding mixin class for ease saving, uploading, downloading a PyTorch model. See PR #11 by @vasudevgupta7

Example usage:

from huggingface_hub import ModelHubMixin

class MyModel(nn.Module, ModelHubMixin):
   def __init__(self, **kwargs):
      super().__init__()
      self.config = kwargs.pop("config", None)
      self.layer = ...
   def forward(self, ...):
      return ...

model = MyModel()

# saving model to local directory & pushing to hub
model.save_pretrained("mymodel", push_to_hub=True, config={"act": "gelu"})

# initiatizing model & loading it from trained-weights
model = MyModel.from_pretrained("username/mymodel@main")

Thanks a ton for your contributions ♥️

v0.0.6

[Repository] Strip basic auth info

Repository class + other tweaks

v0.0.5

v0.0.5

Repository class

• v0.0.4

Repository helper class to interact with git/git-lfs programmatically

• [Repository] more forgiving lfs_track

• added stderr and exceptions (#19)

  • added stderr and exceptions

  • added log to push and check for commit error

  • fixed quality

  • doc improvements + small tweaks

  • [git_add] actually take input pattern

  • less brittle test if local_dir is an actual git repo

  Co-authored-by: Julien Chaumond [email protected]

• v0.0.3

Repository helper class to interact with git/git-lfs programmatically

v0.0.3rc2

v0.0.3rc2

v0.0.3rc1

v0.0.3rc1

Support for dataset repos and other improvements

v0.0.2

v0.0.2

Dummy release to check that everything works

v0.0.1

Update python-release.yml