Automatic Speech Recognition
NeMo
Safetensors
PyTorch
sortformer
speaker-diarization
speaker-recognition
speech
audio
Transformer
FastConformer
Conformer
NEST
NeMo
Eval Results (legacy)
Instructions to use nvidia/diar_sortformer_4spk-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/diar_sortformer_4spk-v1 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/diar_sortformer_4spk-v1") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Multi-gpu usage
#3
by modjo-ai - opened
On my 24gb gpu I can only process audio files less than 10 minutes. Is it possible to run it on multiple, e.g. 4 gpus to not have CUDA OOM issues?
Sorry this is not possible. But we will soon release a streaming version which will have no limits on the audio length.
modjo-ai changed discussion status to closed
Hi @imedennikov , one more question: Is the streaming model just a code change, or do we need to re-train the sortformer model to incorporate the new streaming mechanism? For example cache-aware streaming ASR (https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Online_ASR_Microphone_Demo_Cache_Aware_Streaming.ipynb) need to be trained from scratch.