metadata
license: apache-2.0
pipeline_tag: automatic-speech-recognition
library_name: executorch
whisper-tiny
This repository hosts the whisper-tiny models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream model: whisper-tiny
Variants
| Path | Backend | Precision |
|---|---|---|
coreml/whisper_tiny_coreml_fp16.pte |
coreml | fp16 |
mlx/whisper_tiny_mlx_bf16.pte |
mlx | bf16 |
mlx/whisper_tiny_mlx_int8.pte |
mlx | int8 |
vulkan/whisper_tiny_vulkan_int8.pte |
vulkan | int8 |
vulkan/whisper_tiny_vulkan_fp16.pte |
vulkan | fp16 |
xnnpack/whisper_tiny_xnnpack_fp32.pte |
xnnpack | fp32 |
Repository structure
config.json 34 B
coreml/config.json 1.5 kB
coreml/whisper_tiny_coreml_fp16.pte 72.9 MB
mlx/config.json 2.6 kB
mlx/whisper_tiny_mlx_bf16.pte 72.6 MB
mlx/whisper_tiny_mlx_int8.pte 57.1 MB
tokenizer.json 2.4 MB
vulkan/config.json 2.6 kB
vulkan/whisper_tiny_vulkan_fp16.pte 204 MB
vulkan/whisper_tiny_vulkan_int8.pte 124 MB
xnnpack/config.json 1.4 kB
xnnpack/whisper_tiny_xnnpack_fp32.pte 222 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.