Automatic Speech Recognition
LiteRT
LiteRT
arm
arm-optimized
premium-smartphone
int8
whisper
librispeech
Instructions to use Arm/whisper-medium-int8-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use Arm/whisper-medium-int8-litert 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
Download sample_input.flac from Arm/whisper-medium-int8-litert: direct link, hf CLI and curl.
- Browser
- Download file 146 kB
-
https://huggingface.co/Arm/whisper-medium-int8-litert/resolve/main/sample_input.flac
- Command line
-
hf download hf://Arm/whisper-medium-int8-litert/sample_input.flac
-
curl -L -o sample_input.flac https://huggingface.co/Arm/whisper-medium-int8-litert/resolve/main/sample_input.flac
146 kB
- Xet hash:
- 2e33e35e9791215a2bd691ef54fb4393211636618316ae732dbbaacecd9b79f6
- Size of remote file:
- 146 kB
- SHA256:
- fa3b2e3fac1c7e3babde9b5ec40307fcdef4703f615208ac75a18519e4878a96
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