AttributeError: 'SpeechEncDecSelfSupervisedModel' object has no attribute 'transcribe'
I am trying to load a legacy pre-trained Conformer model.
1. Using current `nemo_toolkit`  `1.14.0+`,  the model loads fine but there is an error: `'SpeechEncDecSelfSupervisedModel' object has no attribute 'transcribe'`


```
<ipython-input-12-1d1ce9ce6276> in transcribe_with_lm(wav_file)
     38 
     39 def transcribe_with_lm(wav_file):
---> 40     logits = transcribe(wav_file, True)
     41 
     42     probs = [softmax(logits) for logits in logits]

<ipython-input-12-1d1ce9ce6276> in transcribe(wav_file, logprobs)
     35     if type(wav_file) != list:
     36         wav_file = [wav_file]
---> 37     return asr_model.transcribe(wav_file, logprobs=logprobs)
     38 
     39 def transcribe_with_lm(wav_file):

/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py in __getattr__(self, name)
   1612             if name in modules:
   1613                 return modules[name]
-> 1614         raise AttributeError("'{}' object has no attribute '{}'".format(
   1615             type(self).__name__, name))
   1616 

AttributeError: 'SpeechEncDecSelfSupervisedModel' object has no attribute 'transcribe'
```

2. I also tried installing `nemo_toolkit` versions `1.10.0` to `1.13.0`, but the model doesn't load at all.

```
ImportError                               Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/tensorboard/compat/__init__.py in tf()
     41     try:
---> 42         from tensorboard.compat import notf  # noqa: F401
     43     except ImportError:

ImportError: cannot import name 'notf' from 'tensorboard.compat' (/usr/local/lib/python3.10/dist-packages/tensorboard/compat/__init__.py)

During handling of the above exception, another exception occurred:

RuntimeError                              Traceback (most recent call last)
RuntimeError: module compiled against API version 0xf but this version of numpy is 0xe
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/tensorboard/compat/__init__.py in tf()
     41     try:
---> 42         from tensorboard.compat import notf  # noqa: F401
     43     except ImportError:

ImportError: cannot import name 'notf' from 'tensorboard.compat' (/usr/local/lib/python3.10/dist-packages/tensorboard/compat/__init__.py)

During handling of the above exception, another exception occurred:

RuntimeError                              Traceback (most recent call last)
RuntimeError: module compiled against API version 0xf but this version of numpy is 0xe
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/tensorboard/compat/__init__.py in tf()
     41     try:
---> 42         from tensorboard.compat import notf  # noqa: F401
     43     except ImportError:

ImportError: cannot import name 'notf' from 'tensorboard.compat' (/usr/local/lib/python3.10/dist-packages/tensorboard/compat/__init__.py)

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
ImportError: numpy.core._multiarray_umath failed to import
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/tensorboard/compat/__init__.py in tf()
     41     try:
---> 42         from tensorboard.compat import notf  # noqa: F401
     43     except ImportError:

ImportError: cannot import name 'notf' from 'tensorboard.compat' (/usr/local/lib/python3.10/dist-packages/tensorboard/compat/__init__.py)
```


3. Lastly, I also tried [downstreaming the model](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/ssl/results.html#loading-ssl-checkpoint-into-down-stream-model) but couldn't figure out how to proceed further.


Please advice the best way to use `transcribe()` method from the `SpeechEncDecSelfSupervisedModel` class.