remove transformer version upper bound

[Zhilin123]

What does this PR do ?

remove transformer version upper bound

Collection: nlp, asr, tts

Changelog

• Add specific line by line info of high level changes in this PR.

Usage

• You can potentially add a usage example below

# Add a code snippet demonstrating how to use this 

Before your PR is "Ready for review"

Pre checks:

• Make sure you read and followed Contributor guidelines
• Did you write any new necessary tests?
• Did you add or update any necessary documentation?
• Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
  • Reviewer: Does the PR have correct import guards for all optional libraries?

PR Type:

• New Feature
• Bugfix
• Documentation

If you haven't finished some of the above items you can still open "Draft" PR.

Who can review?

Anyone in the community is free to review the PR once the checks have passed.
Contributor guidelines contains specific people who can review PRs to various areas.

Additional Information

• Related to # (issue)

[Zhilin123]

Issue in CI due to typo in transformers v4.25.1 see issue raised huggingface/transformers#21204

[Zhilin123]

Issue has been fixed and merged into main by Huggingface at huggingface/transformers#21207

As a note, the PR author noted:

ALL_PRETRAINED_CONFIG_ARCHIVE_MAP is deprecated and will be removed in v5 of Transformers.

There are a couple of places that we import this such as

  File "/usr/local/lib/python3.8/dist-packages/nemo/collections/nlp/modules/common/huggingface/huggingface_utils.py", line 151, in get_huggingface_pretrained_lm_models_list

    huggingface_models = list(ALL_PRETRAINED_CONFIG_ARCHIVE_MAP.keys())

I think we should pre-emptively fix this (perhaps in this PR) as this is going to be a breaking change for us.

[ericharper]

LGTM. Thanks!