unexpected keyword argument 'organization' in push_adapter_to_hub

[bhavitvyamalik]

Environment info

• adapter-transformers version: 2.1.2
• Platform: Linux-5.8.0-59-generic-x86_64-with-glibc2.29
• Python version: 3.8.10
• PyTorch version (GPU?): 1.9.0+cu102 (True)
• Tensorflow version (GPU?): not installed (NA)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using GPU in script?: No
• Using distributed or parallel set-up in script?: No

Information

Model I am using (Bert, XLNet ...): bert-base-uncased

I'm not able to push my adapter model to hub because of this error:

Traceback (most recent call last):
  File "push_adapter.py", line 26, in <module>
    model.push_adapter_to_hub(
  File "/home/bhavitvya/.cache/pypoetry/virtualenvs/domadapter-VESkl83O-py3.8/lib/python3.8/site-packages/transformers/adapters/hub_mixin.py", line 155, in push_adapter_to_hub
    repo_url = self._get_repo_url_from_name(
  File "/home/bhavitvya/.cache/pypoetry/virtualenvs/domadapter-VESkl83O-py3.8/lib/python3.8/site-packages/transformers/file_utils.py", line 2056, in _get_repo_url_from_name
    return HfApi(endpoint=HUGGINGFACE_CO_RESOLVE_ENDPOINT).create_repo(
  File "/home/bhavitvya/.cache/pypoetry/virtualenvs/domadapter-VESkl83O-py3.8/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 124, in _inner_fn
    return fn(*args, **kwargs)
TypeError: create_repo() got an unexpected keyword argument 'organization'

To reproduce

from transformers import AutoTokenizer
from transformers import AutoModelWithHeads, AutoConfig

config = AutoConfig.from_pretrained("bert-base-uncased", output_hidden_states=True)
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelWithHeads.from_pretrained("bert-base-uncased", config=config)

full_path = os.path.join(os.getcwd(), "experiments", "fiction_slate", "joint_domain_task_adapter", "10bl8z6y", "checkpoints")
# load adapter checkpoints and activate it
adapter_name = model.load_adapter(full_path)
model.train_adapter([adapter_name])

repo_name = f"joint_dt_fiction_slate"

model.push_adapter_to_hub(
    repo_name=f"{repo_name}",
    adapter_name=adapter_name,
    organization="UDApter",
    adapterhub_tag="nli/multinli",
    datasets_tag="multi_nli"
)

Expected behavior

Should push the model to UDApter repository without any errors.

[bhavitvyamalik]

Follow up of #1343 (suggested by @Wauplin)

[Wauplin]

Thanks for opening the issue @bhavitvyamalik. Looking more into it, I think it is solved by PR #473 from @Helw150 (:pray:) that have been merged just yesterday :tada:

So if you install adapter-transformers from the main branch or wait for the next release, it should be fixed!

[calpt]

Hey all, the fix provided by @Helw150 has been released with the latest version 3.2.0. Therefore closing this issue.