releasing minor 1.2.1 [rebase & merge]

[Borda]

What does this PR do?

releasing bug fix

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• Did you read the contributor guideline, Pull Request section?
• Did you make sure to update the docs?
• Did you write any new necessary tests?

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---

📚 Documentation preview 📚: https://torchmetrics--2249.org.readthedocs.build/en/2249/

[Borda]

@SkafteNicki thoughts on this exception with torch 1.8?

UNEXPECTED EXCEPTION: AttributeError("module 'torch' has no attribute 'frombuffer'")
Traceback (most recent call last):
  File "/usr/lib/python3.8/doctest.py", line 1336, in __run
    exec(compile(example.source, filename, "single",
  File "<doctest torchmetrics.text.bert.BERTScore.plot[5]>", line 1, in <module>
  File "/__w/3/s/src/torchmetrics/text/bert.py", line 309, in plot
    val = self.compute()  # type: ignore
  File "/__w/3/s/src/torchmetrics/metric.py", line 610, in wrapped_func
    value = _squeeze_if_scalar(compute(*args, **kwargs))
  File "/__w/3/s/src/torchmetrics/text/bert.py", line 241, in compute
    return bert_score(
  File "/__w/3/s/src/torchmetrics/functional/text/bert.py", line 360, in bert_score
    model = AutoModel.from_pretrained(model_name_or_path or _DEFAULT_MODEL)
  File "/usr/local/lib/python3.8/dist-packages/transformers/models/auto/auto_factory.py", line 566, in from_pretrained
    return model_class.from_pretrained(
  File "/usr/local/lib/python3.8/dist-packages/transformers/modeling_utils.py", line 3170, in from_pretrained
    state_dict = load_state_dict(resolved_archive_file)
  File "/usr/local/lib/python3.8/dist-packages/transformers/modeling_utils.py", line 474, in load_state_dict
    return safe_load_file(checkpoint_file)
  File "/usr/local/lib/python3.8/dist-packages/safetensors/torch.py", line 310, in load_file
    result[k] = f.get_tensor(k)
AttributeError: module 'torch' has no attribute 'frombuffer'
/__w/3/s/src/torchmetrics/text/bert.py:289: UnexpectedException

[codecov]

Codecov Report

Merging #2249 (ffb48af) into release/stable (0d7d6c7) will decrease coverage by 0%.
The diff coverage is 80%.

Additional details and impacted files

@@              Coverage Diff               @@
##           release/stable   #2249   +/-   ##
==============================================
- Coverage              87%     87%   -0%     
==============================================
  Files                 293     293           
  Lines               16299   16344   +45     
==============================================
+ Hits                14177   14195   +18     
- Misses               2122    2149   +27     

[SkafteNicki]

@Borda we updated to minimum Pytorch 1.10 in this PR: #2145, so you are seeing problems due to some of the checks that was removed in that PR (there should probably have been an entry in the changelog about this change)

[Borda]

we updated to minimum Pytorch 1.10 in this PR: #2145, so you are seeing problems due to some of the checks that was removed in that PR (there should probably have been an entry in the changelog about this change)

yes I know, but we normally do not change nim requirement between bug-fix releases, so I was trying to find what are the root and a patch on the CI side is #2250