Automatic Speech Recognition
Transformers
NeMo
Safetensors
GGUF
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/parakeet-tdt-0.6b-v3", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download plots/asr.png from nvidia/parakeet-tdt-0.6b-v3: direct link, hf CLI and curl.
- Browser
- Download file 114 kB
-
https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3/resolve/main/plots/asr.png
- Command line
-
hf download hf://nvidia/parakeet-tdt-0.6b-v3/plots/asr.png
-
curl -L -o asr.png https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3/resolve/main/plots/asr.png
114 kB

- Xet hash:
- c6f2ced40ae5cc565fe6df58268a7484ba60df608167b20b4343a24fec15e47c
- Size of remote file:
- 114 kB
- SHA256:
- 43df117825ce8148acce53c1c35cb54e9ecd111b835b171ff903b380429ee105
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