Update huggingface_hub Version in the storage initializer to fix ImportError

[helenxie-bit]

What this PR does / why we need it:
Due to the update of huggingface_hub, split_torch_state_dict_into_shards is not supported in v0.19.3. Therefore, I updated the version in the requirements.txt for the storage initializer to fix the "ImportError".

Which issue(s) this PR fixes (optional, in Fixes #<issue number>, #<issue number>, ... format, will close the issue(s) when PR gets merged):
Fixes #2179

Checklist:

[coveralls]

Pull Request Test Coverage Report for Build 10026064625

Details

• 0 of 0 changed or added relevant lines in 0 files are covered.
• No unchanged relevant lines lost coverage.
• Overall first build on helenxie/fix_huggingface_hub_version at 35.398%

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Totals
Change from base Build 9999203579:	35.4%
Covered Lines:	4377
Relevant Lines:	12365

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💛 - Coveralls

[tenzen-y]

It seems that this error is irrelevant to the huggingface_hub version.
Which peft version do you use in your local?

I guess that your local peft version is newer than v0.3.0:

training-operator/sdk/python/kubeflow/storage_initializer/requirements.txt

Line 1 in f55a91d

peft==0.3.0

[helenxie-bit]

It seems that this error is irrelevant to the huggingface_hub version. Which peft version do you use in your local?

I guess that your local peft version is newer than v0.3.0:

training-operator/sdk/python/kubeflow/storage_initializer/requirements.txt

Line 1 in f55a91d

peft==0.3.0

@tenzen-y My local peft version is 0.3.0:

Name: peft
Version: 0.3.0
Summary: Parameter-Efficient Fine-Tuning (PEFT)
Home-page: https://github.com/huggingface/peft
Author: The HuggingFace team
Author-email: sourab@huggingface.co
License: Apache
Location: /opt/homebrew/anaconda3/envs/kubeflow/lib/python3.11/site-packages
Requires: accelerate, numpy, packaging, psutil, pyyaml, torch, transformers
Required-by: 

And here is the detailed information of the error:

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/app/storage_initializer/storage.py", line 2, in <module>
    from .hugging_face import HuggingFace, HuggingFaceDataset
  File "/app/storage_initializer/hugging_face.py", line 8, in <module>
    from peft import LoraConfig
  File "/usr/local/lib/python3.11/site-packages/peft/__init__.py", line 22, in <module>
    from .mapping import MODEL_TYPE_TO_PEFT_MODEL_MAPPING, PEFT_TYPE_TO_CONFIG_MAPPING, get_peft_config, get_peft_model
  File "/usr/local/lib/python3.11/site-packages/peft/mapping.py", line 16, in <module>
    from .peft_model import (
  File "/usr/local/lib/python3.11/site-packages/peft/peft_model.py", line 22, in <module>
    from accelerate import dispatch_model, infer_auto_device_map
  File "/usr/local/lib/python3.11/site-packages/accelerate/__init__.py", line 16, in <module>
    from .accelerator import Accelerator
  File "/usr/local/lib/python3.11/site-packages/accelerate/accelerator.py", line 34, in <module>
    from huggingface_hub import split_torch_state_dict_into_shards
ImportError: cannot import name 'split_torch_state_dict_into_shards' from 'huggingface_hub' (/usr/local/lib/python3.11/site-packages/huggingface_hub/__init__.py)

Do you have any idea where the problem could be?

[andreyvelich]

@tenzen-y @helenxie-bit Getting the same error on my side with huggingface_hub==0.19.3 version
I think, this update can be related: #2056.

@tenzen-y @johnugeorge @deepanker13 Should we move this forward to fix errors in train API ?

Additionally, @helenxie-bit if you could help us with some simple e2e tests for train API that would be amazing!

[helenxie-bit]

Yeah, of course. I can help with the e2e tests.

[tenzen-y]

@tenzen-y @helenxie-bit Getting the same error on my side with huggingface_hub==0.19.3 version I think, this update can be related: #2056.

@tenzen-y @johnugeorge @deepanker13 Should we move this forward to fix errors in train API ?

Additionally, @helenxie-bit if you could help us with some simple e2e tests for train API that would be amazing!

SGTM

[andreyvelich]

I think, we can merge it. Thanks @helenxie-bit!
/lgtm
/approve

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