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Some weights of the model checkpoint at jonatasgrosman/wav2vec2-large-xlsr-53-english were not used when initializing Wav2Vec2Model: ['lm_head.bias', 'lm_head.weight']
This IS expected if you are initializing Wav2Vec2Model 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 Wav2Vec2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Traceback (most recent call last):
File "inference_for_demo_video.py", line 178, in
speech_array, sampling_rate = torchaudio.load(wav_16k_path)
File "D:\python\Anaconda\envs\dreamtalk\lib\site-packages\torchaudio\backend\no_backend.py", line 20, in load
raise RuntimeError('No audio I/O backend is available.')
RuntimeError: No audio I/O backend is available.
The text was updated successfully, but these errors were encountered:
Some weights of the model checkpoint at jonatasgrosman/wav2vec2-large-xlsr-53-english were not used when initializing Wav2Vec2Model: ['lm_head.bias', 'lm_head.weight']
Traceback (most recent call last):
File "inference_for_demo_video.py", line 178, in
speech_array, sampling_rate = torchaudio.load(wav_16k_path)
File "D:\python\Anaconda\envs\dreamtalk\lib\site-packages\torchaudio\backend\no_backend.py", line 20, in load
raise RuntimeError('No audio I/O backend is available.')
RuntimeError: No audio I/O backend is available.
The text was updated successfully, but these errors were encountered: