AttributeError: 'Wav2Vec2Processor' object has no attribute 'sampling_rate'

[rbctmz]

Some weights of the model checkpoint at jonatasgrosman/wav2vec2-large-xlsr-53-russian were not used when initializing Wav2Vec2ForCTC: ['wav2vec2.encoder.pos_conv_embed.conv.weight_g', 'wav2vec2.encoder.pos_conv_embed.conv.weight_v']

• This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing
  a BertForSequenceClassification model from a BertForSequenceClassification model).
  Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at jonatasgrosman/wav2vec2-large-xlsr-53-russian and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1']
  You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
  Traceback (most recent call last):
  File "C:\Users\kisel.ga\whisperX\main_test.py", line 31, in
  result = whisperx.align(result["segments"], model_a, metadata, audio, device, return_char_alignments=False)
  File "C:\Users\kisel.ga\whisperX.venv\lib\site-packages\whisperx\alignment.py", line 232, in align
  inputs = processor(waveform_segment.squeeze(), sampling_rate=processor.sampling_rate, return_tensors="pt").to(device)
  AttributeError: 'Wav2Vec2Processor' object has no attribute 'sampling_rate'