Comments (1)
Pull and retry, #14 should fix this
from deepspeech.pytorch.
Related Issues (20)
- Question about data shuffling HOT 3
- cant train! HOT 1
- could you please provide a docker image with an established environment? HOT 1
- loss (Loss 0.00000) for all along the training HOT 4
- weights_summary and weights_path on lightning_config not working. HOT 1
- omegaconf.errors.ValidationError: Unexpected object type: tuple HOT 1
- About omegaconf.errors.ValidationError: Unexpected object type: tuple at train_config.py HOT 2
- error in training HOT 1
- Does batch size change while traininig with elastic agent? HOT 1
- deepspeech2 need how much Flops? HOT 1
- How to support microphone vad by deepspeech.pytorch? HOT 1
- partition_activations produces no activation memory improvement with zero3 HOT 1
- TypeError("__init__() got an unexpected keyword argument 'num_processes'") HOT 3
- What should we do if we have segments for dataset? HOT 1
- it did not generates the models/deepspeech.pth file HOT 2
- Training
- Got too high WER and CER on AN4 HOT 1
- How can I train or test without spectrogram? HOT 1
- Support for newest version of pytorch-lightning right now (2.1)
- SequenceWise Operation
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from deepspeech.pytorch.