Automatic Speech Recognition
WhisperKit
LiteRT
LiteRT
whisper
parakeet
nvidia
openai
asr
transcription
local
on-device
quantized
compressed
Instructions to use argmaxinc/parakeetkit-litert-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use argmaxinc/parakeetkit-litert-pro with WhisperKit:
# Install CLI with Homebrew on macOS device brew install whisperkit-cli # View all available inference options whisperkit-cli transcribe --help # Download and run inference using whisper base model whisperkit-cli transcribe --audio-path /path/to/audio.mp3 # Or use your preferred model variant whisperkit-cli transcribe --model "large-v3" --model-prefix "distil" --audio-path /path/to/audio.mp3 --verbose
- LiteRT
How to use argmaxinc/parakeetkit-litert-pro with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 877 Bytes
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license: other
license_name: argmax-fmod-license
license_link: https://huggingface.co/argmaxinc/parakeet-litert-pro/blob/main/LICENSE_NOTICE.txt
pretty_name: ParakeetKit
viewer: false
library_name: whisperkit
tags:
- whisper
- whisperkit
- parakeet
- nvidia
- openai
- litert
- asr
- transcription
- local
- on-device
- quantized
- compressed
- automatic-speech-recognition
extra_gated_heading: ParakeetKit Pro (Part of Argmax SDK)
extra_gated_description: ParakeetKit Pro deploys Nvidia Parakeet models through LiteRT on Android
extra_gated_fields:
Company: text
Work email: text
I acknowledge the license notice: checkbox
extra_gated_button_content: Submit
---
# ParakeetKit Pro
These models are only compatible with [Argmax Pro SDK](https://www.argmaxinc.com/#SDK). You can sign up for Argmax Pro SDK [here](https://app.argmaxinc.com).
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