Instructions to use PalatineVision/parakeet-tdt-0.6b-v3-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use PalatineVision/parakeet-tdt-0.6b-v3-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("PalatineVision/parakeet-tdt-0.6b-v3-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Parakeet TDT 0.6B v3 路 ONNX (int8)
ONNX build of NVIDIA Parakeet TDT 0.6B v3, a multilingual automatic speech recognition model, quantized to int8 for fast, low latency inference on CPU and on device. Hosted by Palatine, where it powers speech to text in Palatine Notes. Provided as is.
Languages
Multilingual across 25 European languages: English, Spanish, French, German, Bulgarian, Croatian, Czech, Danish, Dutch, Estonian, Finnish, Greek, Hungarian, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, Swedish, Russian, and Ukrainian.
Files
This repository ships both the int8 quantized and the full precision graphs of
the encoder (encoder-model.int8.onnx, and encoder-model.onnx with its
encoder-model.onnx.data weights) and the decoder / joint network
(decoder_joint-model.int8.onnx, decoder_joint-model.onnx), along with the
feature extractor (nemo128.onnx) and the vocabulary (vocab.txt).
License & attribution
Base model 漏 NVIDIA, released under CC-BY-4.0; this ONNX build is redistributed under the same license.
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Model tree for PalatineVision/parakeet-tdt-0.6b-v3-onnx
Base model
nvidia/parakeet-tdt-0.6b-v3