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software-mansion/react-native-executorch-whisper-small.en

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.012 GBother✓ 6 checksumsupdated today
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Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo software-mansion/react-native-executorch-whisper-small.en ./model-folder
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whisper-small.en

This repository hosts the whisper-small.en models exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.

Upstream model: whisper-small.en

Variants

Path Backend Precision
coreml/whisper_small_en_coreml_fp16.pte coreml fp16
mlx/whisper_small_en_mlx_int8.pte mlx int8
vulkan/whisper_small_en_vulkan_fp16.pte vulkan fp16
vulkan/whisper_small_en_vulkan_int8.pte vulkan int8
xnnpack/whisper_small_en_xnnpack_int8.pte xnnpack int8
xnnpack/whisper_small_en_xnnpack_fp32.pte xnnpack fp32

Repository structure

config.json                                38 B
coreml/config.json                         1.5 kB
coreml/whisper_small_en_coreml_fp16.pte    462 MB
mlx/config.json                            1.5 kB
mlx/whisper_small_en_mlx_int8.pte          276 MB
tokenizer.json                             2.3 MB
vulkan/config.json                         2.6 kB
vulkan/whisper_small_en_vulkan_fp16.pte    881 MB
vulkan/whisper_small_en_vulkan_int8.pte    484 MB
xnnpack/config.json                        2.6 kB
xnnpack/whisper_small_en_xnnpack_fp32.pte  1.1 GB
xnnpack/whisper_small_en_xnnpack_int8.pte  427 MB

Compatibility

These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.

To load these files in your own ExecuTorch runtime, read the compatibility note first.