Automatic Speech Recognition
NeMo
PyTorch
speaker-diarization
speech-recognition
multitalker-ASR
multispeaker-ASR
speech
audio
FastConformer
RNNT
Conformer
NEST
NeMo
Eval Results (legacy)
Instructions to use CollectionStudio/multitalker-parakeet-streaming-0.6b-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use CollectionStudio/multitalker-parakeet-streaming-0.6b-v1 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("CollectionStudio/multitalker-parakeet-streaming-0.6b-v1") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download figures/multi_instance.png from CollectionStudio/multitalker-parakeet-streaming-0.6b-v1: direct link, hf CLI and curl.
- Browser
- Download file 839 kB
-
https://huggingface.co/CollectionStudio/multitalker-parakeet-streaming-0.6b-v1/resolve/main/figures/multi_instance.png
- Command line
-
hf download hf://CollectionStudio/multitalker-parakeet-streaming-0.6b-v1/figures/multi_instance.png
-
curl -L -o multi_instance.png https://huggingface.co/CollectionStudio/multitalker-parakeet-streaming-0.6b-v1/resolve/main/figures/multi_instance.png
839 kB

- Xet hash:
- 92528e02c45dc8f6226ffcd5ebe1b8eecfe676813d0cc413ea68448c47c5447a
- Size of remote file:
- 839 kB
- SHA256:
- 608a4444100748c45dbc0f38d0382c0daabf2670c1fc53c1cdb2fa452ac86b22
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