Comments (2)
There was a temporary error due to the stable
tag pointing to NeMo main instead of NeMo r1.23.0. Please try again, it should work now.
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That worked. Thanks!
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Related Issues (20)
- Runtime error when exporting FastPitch model to PyTorch HOT 4
- support for ndarray and tensor decoding for RNNT based ASR models HOT 10
- Unable to train with more than 0 dataloader workers HOT 2
- Issue running PEFT finetuning on a GPT2 model with TP=2 and SP =True HOT 2
- NeMo ASR - Model level config does not contain `sample_rate`, please explicitly provide `sample_rate` to the dataloaders. HOT 2
- Not able to run basic inference using canary-1b model HOT 18
- numba.cuda.cudadrv.error.NvvmError: Failed to verify
- ModuleNotFoundError: No module named 'nemo.collections.asr.metrics.rnnt_wer' HOT 7
- hybrid_rnnt_ctc_bpe model has no inference code HOT 1
- gpt SFT model inference did not return the prediction results
- No module named 'nemo' HOT 2
- Exporting Conformer CTC to TensorRT HOT 5
- CONF-TSASR HOT 1
- Dataset metadata for audio_codec HOT 2
- Support for multi-channel audio data HOT 3
- ckpt to nemo or model HOT 2
- Restoring from pretrained checkpoint is broke for "stt_ua_fastconformer_hybrid_large_pc" HOT 4
- parakeet-tdt-1.1b unable to calculate ASR confidence scores! HOT 2
- assertion error on calling model_eval.load_adapters() in lora tutorial HOT 4
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