From the model card
Fields below are copied from the tags and counters on the HuggingFace repository nvidia/parakeet-tdt-0.6b-v2 at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.
- Publisher (HF namespace)
- nvidia
- Pipeline tag
- automatic-speech-recognition
- Library
- NeMo
- Framework tags
- PyTorch
- License tag
cc-by-4.0— read the license file in the repo before relying on it- Language tags
- English (en)
- Papers cited
- arXiv:2305.05084, arXiv:2304.06795, arXiv:2406.00899, arXiv:2410.01036, arXiv:2505.13404
- Datasets declared
- nvidia/Granary, nvidia/nemo-asr-set-3.0
- Downloads (HF counter at last fetch)
- 449,828
- Likes (HF counter at last fetch)
- 1,534
- Model card
- https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2
Use cases
- High-throughput English speech transcription in production environments
- Real-time transcription where low-latency TDT decoding is needed
- Benchmarking ASR models on the Hugging Face ASR leaderboard
- Integration into NVIDIA NeMo-based ASR pipelines
- Long-form audio transcription with accurate word-level timestamps
Pros
- FastConformer architecture delivers strong accuracy-to-compute ratios for English ASR
- TDT decoder supports word-level duration prediction, enabling accurate timestamp generation
- Trained on Granary and NeMo ASR 3.0, large-scale proprietary datasets curated by NVIDIA
- Listed on the HF ASR leaderboard with eval-results metadata for objective comparison
- CC-BY-4.0 license permits commercial use and redistribution with attribution
- 1506 likes reflects strong community validation relative to similar ASR models
Cons
- Requires NVIDIA NeMo framework — not directly usable with standard Transformers pipelines
- English-only; no multilingual capability
- 600M parameters is large relative to Whisper-small or medium for teams with tight inference budgets
- NeMo dependency introduces a heavy installation footprint not suitable for lightweight deployments
- Performance on heavily accented or non-native English speech may degrade without domain fine-tuning
Tags
nemoautomatic-speech-recognitionspeechaudioTransducerTDTFastConformerConformerpytorchNeMohf-asr-leaderboardendataset:nvidia/Granarydataset:nvidia/nemo-asr-set-3.0arxiv:2305.05084arxiv:2304.06795arxiv:2406.00899arxiv:2410.01036arxiv:2505.13404license:cc-by-4.0