Automatic Speech Recognition
Transformers
NeMo
Safetensors
PyTorch
parakeet_tdt
feature-extraction
speech
audio
Transducer
Transformer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Transformers
Eval Results (legacy)
Eval Results
Instructions to use nvidia/parakeet-tdt-0.6b-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/parakeet-tdt-0.6b-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvidia/parakeet-tdt-0.6b-v3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/parakeet-tdt-0.6b-v3", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 2,130 Bytes
7c35754 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | - dataset:
id: hf-audio/open-asr-leaderboard
task_id: mean_wer
value: 6.32
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: rtfx
value: 3332.74
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: ami_wer
value: 11.39
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: earnings22_wer
value: 11.19
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: gigaspeech_wer
value: 9.57
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: librispeech_clean_wer
value: 1.92
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: librispeech_other_wer
value: 3.59
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: spgispeech_wer
value: 3.98
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: tedlium_wer
value: 2.8
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
- dataset:
id: hf-audio/open-asr-leaderboard
task_id: voxpopuli_wer
value: 6.09
date: '2025-08-04'
source:
url: https://huggingface.co/hf-audio
name: open-asr-leaderboard
user: hf-audio
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