Automatic Speech Recognition
LiteRT-LM
LiteRT
LiteRT
asr
speech-to-text
on-device
android
ios
whisper
int8
npu
Instructions to use litert-community/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/whisper-tiny with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=litert-community/whisper-tiny \ --prompt="Write me a poem"
- LiteRT
How to use litert-community/whisper-tiny 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
Add ACFT short-window variants (5s/10s/30s, int8 drq) converted from futo-org/acft-whisper-tiny
#9
by leuconoe - opened
acft_whisper_tiny_10s_drq.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:af4bb792b6e3be9708a90100c0831b28b191603833bdf591429924cb42fc499a
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size 59251096
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acft_whisper_tiny_30s_drq.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:a614fe245215427a3804ba094f55addf46b38118f978f8abc519ad51530558cc
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size 60787096
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acft_whisper_tiny_5s_drq.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:d98a8a7861558b29d916febde33537ae4f56a6a68953c99a12e5c09e39035935
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size 58867096
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