Comments (2)
Here is docs: https://nvidia.github.io/NeMo/training.html#multi-gpu-training
Instead of "jasper.py" you can use this script: https://github.com/NVIDIA/NeMo/blob/master/examples/asr/quartznet.py
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Hi, could you please update the links?
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Related Issues (20)
- GPU memory overhead when calling trainer.fit the second time HOT 2
- official training logs with loss/wer HOT 4
- EncDecTransfModelBPE model has bugs in transcribe() method HOT 1
- Llama SFT - Single Dataset File Not Working Even With ${CONCAT_SAMPLING_PROBS}="[1]" HOT 1
- Privately reporting a Vulnerability to NVIDIA/NeMo
- [ASR] Add Paraformer model HOT 6
- Read files BytesIO format HOT 4
- Audio with filename containing spaces generate invalid rttm files HOT 2
- Add a progress bar when loading model from pretrained HOT 2
- ImportError: cannot import name 'compute_metrics_per_sample' from 'nemo.collections.asr.parts.utils.transcribe_utils' (/DATA/anaconda3/envs/nemo/lib/python3.10/site-packages/nemo/collections/asr/parts/utils/transcribe_utils.py) HOT 11
- Implementation of Disfluencies in TextToSpeech HOT 5
- Finetuning ASR models and change the vocabulary error!!! HOT 3
- Installation error on M1 Macbook - No matching distribution found for triton HOT 5
- Remove Pydantic Version Constraint Due to Inflect Update HOT 1
- [ASR] hybrid models ignore OMP_NUM_THREADS/torch.set_num_threads() setting HOT 14
- Can be any improvement from using learned preprocessors? HOT 2
- Knowledge distillation support for Nemo ASR models
- Quartznet onnx model can't run on onnxruntime(CUDA backend) benchmark
- TUTORIAL BUG ONLY: Missing model.eval() in the SapBERT implementations HOT 2
- Error in exporting the speaker verification model to ONNX HOT 4
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