fairseq2n is incompatible with torch 2.3.0

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Describe the bug:
Attempted to bump torch version to 2.3.0 and got an error:

ERROR: fairseq2n 0.2.1 has requirement torch==2.2.2, but you'll have torch 2.3.0 which is incompatible

Describe how to reproduce:
$python -m venv test
$source test/bin/activate
$pip install -r requirements_test_bug.txt

Content of requirements file:
`torch==2.3.0; python_version >= '3.8' and sys_platform !="darwin"

#Seamless MT4 related packages
fairseq2; sys_platform == "linux" and platform_machine != "aarch64"
--extra-index-url https://fair.pkg.atmeta.com/fairseq2/whl/pt2.3.0/cu118
#fairseq2 dependency on libcudart.so.11.0
nvidia-cuda-runtime-cu11==11.7.99; sys_platform == "linux" and platform_machine != "aarch64"
`
More other in case attempted to create a wheel it fails on dependency check

Describe the expected behavior:
fairseq2n should be compatible with torch==2.3.0 as same as , according to docs, fairseq2 that seems to has dependency on the package.

Environment:
$ python --version
Python 3.8.10
$pip --version
pip 20.0.2
$ pip freeze | grep torch
torch==2.3.0
No CUDA d(i)GPU is used.

Additional Context:
torch 2.3.0 is a preferable option for inferring of another model.