No project description provided
Project description
Supported functions
Speech recognition | Speech synthesis |
---|---|
✔️ | ✔️ |
Speaker identification | Speaker diarization | Speaker verification |
---|---|---|
✔️ | ✔️ | ✔️ |
Spoken Language identification | Audio tagging | Voice activity detection |
---|---|---|
✔️ | ✔️ | ✔️ |
Keyword spotting | Add punctuation |
---|---|
✔️ | ✔️ |
Supported platforms
Architecture | Android | iOS | Windows | macOS | linux |
---|---|---|---|---|---|
x64 | ✔️ | ✔️ | ✔️ | ✔️ | |
x86 | ✔️ | ✔️ | |||
arm64 | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
arm32 | ✔️ | ✔️ | |||
riscv64 | ✔️ |
Supported programming languages
1. C++ | 2. C | 3. Python | 4. JavaScript |
---|---|---|---|
✔️ | ✔️ | ✔️ | ✔️ |
5. Java | 6. C# | 7. Kotlin | 8. Swift |
---|---|---|---|
✔️ | ✔️ | ✔️ | ✔️ |
9. Go | 10. Dart | 11. Rust | 12. Pascal |
---|---|---|---|
✔️ | ✔️ | ✔️ | ✔️ |
For Rust support, please see sherpa-rs
It also supports WebAssembly.
Introduction
This repository supports running the following functions locally
- Speech-to-text (i.e., ASR); both streaming and non-streaming are supported
- Text-to-speech (i.e., TTS)
- Speaker diarization
- Speaker identification
- Speaker verification
- Spoken language identification
- Audio tagging
- VAD (e.g., silero-vad)
- Keyword spotting
on the following platforms and operating systems:
- x86,
x86_64
, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64) - Linux, macOS, Windows, openKylin
- Android, WearOS
- iOS
- NodeJS
- WebAssembly
- Raspberry Pi
- RV1126
- LicheePi4A
- VisionFive 2
- 旭日X3派
- 爱芯派
- etc
with the following APIs
- C++, C, Python, Go,
C#
- Java, Kotlin, JavaScript
- Swift, Rust
- Dart, Object Pascal
Links for Huggingface Spaces
You can visit the following Huggingface spaces to try sherpa-onnx without installing anything. All you need is a browser.
Description | URL |
---|---|
Speaker diarization | Click me |
Speech recognition | Click me |
Speech recognition with Whisper | Click me |
Speech synthesis | Click me |
Generate subtitles | Click me |
Audio tagging | Click me |
Spoken language identification with Whisper | Click me |
We also have spaces built using WebAssembly. They are listed below:
Description | Huggingface space | ModelScope space |
---|---|---|
Voice activity detection with silero-vad | Click me | 地址 |
Real-time speech recognition (Chinese + English) with Zipformer | Click me | 地址 |
Real-time speech recognition (Chinese + English) with Paraformer | Click me | 地址 |
Real-time speech recognition (Chinese + English + Cantonese) with Paraformer-large | Click me | 地址 |
Real-time speech recognition (English) | Click me | 地址 |
VAD + speech recognition (Chinese + English + Korean + Japanese + Cantonese) with SenseVoice | Click me | 地址 |
VAD + speech recognition (English) with Whisper tiny.en | Click me | 地址 |
VAD + speech recognition (English) with Zipformer trained with GigaSpeech | Click me | 地址 |
VAD + speech recognition (Chinese) with Zipformer trained with WenetSpeech | Click me | 地址 |
VAD + speech recognition (Japanese) with Zipformer trained with ReazonSpeech | Click me | 地址 |
VAD + speech recognition (Thai) with Zipformer trained with GigaSpeech2 | Click me | 地址 |
VAD + speech recognition (Chinese 多种方言) with a TeleSpeech-ASR CTC model | Click me | 地址 |
VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-large | Click me | 地址 |
VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-small | Click me | 地址 |
Speech synthesis (English) | Click me | 地址 |
Speech synthesis (German) | Click me | 地址 |
Speaker diarization | Click me | 地址 |
Links for pre-built Android APKs
You can find pre-built Android APKs for this repository in the following table
Description | URL | 中国用户 |
---|---|---|
Speaker diarization | Address | 点此 |
Streaming speech recognition | Address | 点此 |
Text-to-speech | Address | 点此 |
Voice activity detection (VAD) | Address | 点此 |
VAD + non-streaming speech recognition | Address | 点此 |
Two-pass speech recognition | Address | 点此 |
Audio tagging | Address | 点此 |
Audio tagging (WearOS) | Address | 点此 |
Speaker identification | Address | 点此 |
Spoken language identification | Address | 点此 |
Keyword spotting | Address | 点此 |
Links for pre-built Flutter APPs
Real-time speech recognition
Description | URL | 中国用户 |
---|---|---|
Streaming speech recognition | Address | 点此 |
Text-to-speech
Description | URL | 中国用户 |
---|---|---|
Android (arm64-v8a, armeabi-v7a, x86_64) | Address | 点此 |
Linux (x64) | Address | 点此 |
macOS (x64) | Address | 点此 |
macOS (arm64) | Address | 点此 |
Windows (x64) | Address | 点此 |
Note: You need to build from source for iOS.
Links for pre-built Lazarus APPs
Links for pre-trained models
Description | URL |
---|---|
Speech recognition (speech to text, ASR) | Address |
Text-to-speech (TTS) | Address |
VAD | Address |
Keyword spotting | Address |
Audio tagging | Address |
Speaker identification (Speaker ID) | Address |
Spoken language identification (Language ID) | See multi-lingual Whisper ASR models from Speech recognition |
Punctuation | Address |
Speaker segmentation | Address |
Useful links
- Documentation: https://k2-fsa.github.io/sherpa/onnx/
- Bilibili 演示视频: https://search.bilibili.com/all?keyword=%E6%96%B0%E4%B8%80%E4%BB%A3Kaldi
How to reach us
Please see https://k2-fsa.github.io/sherpa/social-groups.html for 新一代 Kaldi 微信交流群 and QQ 交流群.
Projects using sherpa-onnx
voiceapi
Streaming ASR and TTS based on FastAPI
It shows how to use the ASR and TTS Python APIs with FastAPI.
腾讯会议摸鱼工具 TMSpeech
Uses streaming ASR in C# with graphical user interface.
Video demo in Chinese: 【开源】Windows实时字幕软件(网课/开会必备)
lol互动助手
It uses the JavaScript API of sherpa-onnx along with Electron
Video demo in Chinese: 爆了!炫神教你开打字挂!真正影响胜率的英雄联盟工具!英雄联盟的最后一块拼图!和游戏中的每个人无障碍沟通!
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Hashes for sherpa_onnx-1.10.30-cp313-cp313-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7fe92882f3bc6de29bf8d3fb845c951c275a079fcbeb8963a88cbf35d65233b9 |
|
MD5 | dc50c6ee2c7d00eb29e63ebde264767c |
|
BLAKE2b-256 | 5041ba2b401888467711306a772175d09a88f4abeeb1151bf43d12f4e9fc8c93 |
Hashes for sherpa_onnx-1.10.30-cp313-cp313-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 375ecfdb4faf0b68b9358b8393b205a4eca8d318caa81a2e7047ddd0213e1051 |
|
MD5 | aab4ddc70cfbe44029d903458721a89e |
|
BLAKE2b-256 | 54141f37236e8e1af9aaf2b8a16b8fa6b67fa46e898b9edee51e87a686e30d67 |
Hashes for sherpa_onnx-1.10.30-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2a33d520adf0416118cce7241ac2653451c9a565fee15ccec12c9589168a4b1e |
|
MD5 | 02217c50becd0339eaca15ed868c736e |
|
BLAKE2b-256 | 8c536f96b5d1b681626eba57486f089c2a13dda453094378f13b4f8361b8896d |
Hashes for sherpa_onnx-1.10.30-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e3633a50e20da02dbea519ec678628a0e25e909cf3626ff57fe5f74adc8e3d9e |
|
MD5 | cec79d1c9335835c4cc5dd899774ee8a |
|
BLAKE2b-256 | d21cd22e4d55dbc807abc41859975866960d244bc57c6fd15eab9227d1a8b491 |
Hashes for sherpa_onnx-1.10.30-cp313-cp313-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d98c9022add118f334604ea817da90a95dfe5d5027a7bcb5479f327979ac1800 |
|
MD5 | 7f7a4e5b260d91e5409482ff97a344d4 |
|
BLAKE2b-256 | 50b6d234588b7242bcd8f23b1a42616b6668f636acb430cc3d97fb348447e17d |
Hashes for sherpa_onnx-1.10.30-cp313-cp313-macosx_11_0_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8f519fb60ed11b28597d106ba983001d45fe1e48da08056d05364675441d41f2 |
|
MD5 | 16ca857bfdddbef5bf4d25f85775e005 |
|
BLAKE2b-256 | 82b18c0ba02455c2262d8ecfa95646a689b5549c85b2a1f98defdc440d409302 |
Hashes for sherpa_onnx-1.10.30-cp313-cp313-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fd7087e9a9ea4f8d0473d137fd9bc28302472b497f84e6e4137bdc4e76eaff3b |
|
MD5 | 1b43485fd4b285c926190e09dc18aaeb |
|
BLAKE2b-256 | ea005fedbc7c890106e818e961634f24313b2b4c2fc3b3da268ffe3ddf4a6444 |
Hashes for sherpa_onnx-1.10.30-cp312-cp312-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | db5d8710f38e07473ffa4a0db0e958164a34cafec027b376d103ab51bb14bf29 |
|
MD5 | 5c3c0c8d181ac61248c711d73679c3de |
|
BLAKE2b-256 | 95d7db1ea26c68dd5b102cb1e829d8a87b95ee884a364464d7093071fefdf544 |
Hashes for sherpa_onnx-1.10.30-cp312-cp312-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bc4823ec607d492fd82e9e18494688a3cb30f1beda76193e13486554f9a0fb0e |
|
MD5 | e9e684c991d9707c28613fa2974b6b89 |
|
BLAKE2b-256 | 6d93e30de18af72f3f0d0ae1574087805660109f891d50d60bb48f9d4ec9ddf2 |
Hashes for sherpa_onnx-1.10.30-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 04122c362a9ed2f3959d7cc801347a91d9dbc75827a8ff6678166acd1fd82416 |
|
MD5 | aa6f428000200d50470ed470cba6a6f3 |
|
BLAKE2b-256 | afd015ccff623454b26cc23c6eccf05b7d267434efc3f0dd5b4a6eed458bd59f |
Hashes for sherpa_onnx-1.10.30-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b32381b1569f292ed949fcf788b0764ccc938e1b7030df45a5403437b852ee1c |
|
MD5 | 896780045117dcbbad26c5369cafa2b9 |
|
BLAKE2b-256 | bbeda960b15c46d85c85db323d8e8e77a5cb274484cca3c81aec72167de802fe |
Hashes for sherpa_onnx-1.10.30-cp312-cp312-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | abbaf2cb626b3565d978ea56192292de7e664127247b2830526f5f5310e534b0 |
|
MD5 | 2449cc70b0da71b28fff2f3600be557b |
|
BLAKE2b-256 | fe34332a4f06140fe5a7ce9c800676da8ad82e5ec08ab9ca0847214f0be22d34 |
Hashes for sherpa_onnx-1.10.30-cp312-cp312-macosx_11_0_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ba2b2d21db346d3a4207b131d26d15120f6c30a62cfad85b7864dfdebcf19818 |
|
MD5 | 830ab2226dcd83f2dfc13abc211cc7f3 |
|
BLAKE2b-256 | c29b5b1f30285d15866ef0f299f102793e4a1b2ddba689522d602bfd57d57b3b |
Hashes for sherpa_onnx-1.10.30-cp312-cp312-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a60de5d6db602824a4d92bda3914a8f284b6e194e3471b2b3202a20f84685988 |
|
MD5 | 82a7df613fd4fed4b0c6c17420a1e835 |
|
BLAKE2b-256 | de7c920d2a3e344e0e760dfd14b043b71a4b6bffc6cf013ca952fd44442ce559 |
Hashes for sherpa_onnx-1.10.30-cp311-cp311-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8f2e6d9f8c688e054cf90f76f3f5f6fe91f0aa41ffcaee0cb7085028f00c1ef3 |
|
MD5 | 75e662d3b83190716deae1f158c41ee6 |
|
BLAKE2b-256 | cc51860dd6800a15e77aefd6e27c0b25fdea9a5510f7afe1c1a1f73d3ccc12ad |
Hashes for sherpa_onnx-1.10.30-cp311-cp311-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | df69cab4a74f8703abdedfef120593b7b4484fe1ff9bd0fc4b0d644681d6a909 |
|
MD5 | c5392723a58de87773202f3b4798cb03 |
|
BLAKE2b-256 | 13e7034128c8b73fefab7b917c0137127dc32a209c176d83e4228462ee5b3e62 |
Hashes for sherpa_onnx-1.10.30-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b85a0815e283395f838abe53b026d5f238e89ba72d0b35b53485cd7e18a9993b |
|
MD5 | 516e336f171dfd1d2e9a714d8707fb81 |
|
BLAKE2b-256 | d6a2d50da3afe5cecac3957422796e8b47a6546c37f78085e7e85e2b4cc52d0e |
Hashes for sherpa_onnx-1.10.30-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ee414e5a5a1d9d09407b64424dce7c0bf3f6d37e759701b0b3d407992802bcd1 |
|
MD5 | 07d70635473da2efcb90ae3716f5cbcd |
|
BLAKE2b-256 | 59912a8f17bfb4415c2ff85de2ea9a6e48f952d0976a2fd6f3cb027458d3a6eb |
Hashes for sherpa_onnx-1.10.30-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 760eb3a4e9ac2c60dae71c609f2be4692b00579b34085c3d818ba5acdd6a811c |
|
MD5 | 11ecb5e83585fb410c5235b2c885238f |
|
BLAKE2b-256 | 67d7ea9b6d7154a78f9b4c6528ad22863c37cab5ca63cb0b44605bf26e4cdc3e |
Hashes for sherpa_onnx-1.10.30-cp311-cp311-macosx_11_0_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8859ea73d3d53aef086186deac66f461d53baf937ff6654fcdfaebd509af8bd9 |
|
MD5 | be1bc403ccf2bcb8ee1f353686486b11 |
|
BLAKE2b-256 | 82f4bb9253b9b262476b8aedacebdf1be86316d6d5caaa4d04ce02a311a77fd9 |
Hashes for sherpa_onnx-1.10.30-cp311-cp311-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d43e8231529b9538a6aa395a3444107f328af7ec3f23142823395212d2eae20b |
|
MD5 | c14c2ecc289b84cbbe05323d221b26fe |
|
BLAKE2b-256 | 9826705ea9cccf925ed150c5576de8c18739103e3c2eefce059c18f7447bf0ae |
Hashes for sherpa_onnx-1.10.30-cp311-cp311-linux_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 469dc5a80932de63652674b158734b2b09b98fd5e663a045e4f2ba3a716b7141 |
|
MD5 | 2d002ee7250d3d16c32fd7c782feaf7f |
|
BLAKE2b-256 | cc1d7e200a5a4bffdb03d36e89c02a37cf7816e62ceadc6a0ad5b2c01dd194ca |
Hashes for sherpa_onnx-1.10.30-cp310-cp310-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d824949e26fddf16abc390a3a9a066d9df6ca52e650408bd5954489a12e0b9f4 |
|
MD5 | e1fed3e0dbe4fe7dd9039eecb5664ab0 |
|
BLAKE2b-256 | d842f566c573d6499b957895236d1a86facd3647d6b32a95947bc2f0d0ece110 |
Hashes for sherpa_onnx-1.10.30-cp310-cp310-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fa85067a92bf3007f30dd3c096137becf7793f5c5c908d1f5ab7db03db031a48 |
|
MD5 | b2eddc14fbd1cb45939e8fb860651ddd |
|
BLAKE2b-256 | 4357f50eeb492ef998c3886b2f1e7925b1fe151789e44b7a340aaa85ee60f023 |
Hashes for sherpa_onnx-1.10.30-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6a90a7b3454418cc6ffd2071a46ba72e46fa413bab37adb049666f6e326235ba |
|
MD5 | 183177958710d5d4356955db24bb9ba0 |
|
BLAKE2b-256 | 13142ac3db37a8e18eebaa018fca480656f39b9146cff4b638dbc3f56360f8a9 |
Hashes for sherpa_onnx-1.10.30-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 014f8ddd0d85013a51f9b424bb96cea9c53a00867f1ad5b1ccb453636ce09447 |
|
MD5 | 0d9ae7f5a1b3385b4bf21778990ab372 |
|
BLAKE2b-256 | 6952359386d30675cad060f6c16361ebc60c5168af8396cbd508127812c79f9a |
Hashes for sherpa_onnx-1.10.30-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 455761ba3efc3ed89b350a0a432d60392004257ea03459138bee03541900059c |
|
MD5 | 9d50771b085bf669a5a3e4b33d31d0ed |
|
BLAKE2b-256 | 72b0d14b635de6229520ef2a18ad671d93f6d919d32b402980f0c12a7d25061d |
Hashes for sherpa_onnx-1.10.30-cp310-cp310-macosx_11_0_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e647a31495b3425c0b3f84987992ac270df6ee11124afeaec7c70b6feb345ebf |
|
MD5 | e024c4f66b4d6adb795c9a5673ea7be2 |
|
BLAKE2b-256 | aa94273f31bef46ab4033be6babba21adf1c4e997ab99575f44c6e64cb9af581 |
Hashes for sherpa_onnx-1.10.30-cp310-cp310-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f07da5c94c3f1a2f68f1764f88fd9e14c5e8b7d386919713df832e6df8ee6412 |
|
MD5 | 987ff9cc7d8396b619d01a371deafb16 |
|
BLAKE2b-256 | a2cf37daa1df5e4224342ab16b9e99124ebd808ae3a1822cd4b47bfa8a37ac1a |
Hashes for sherpa_onnx-1.10.30-cp310-cp310-linux_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 84089884f5af5b4560c54d3e7a1c5825d24d458ebd4700e12f4569c43a196039 |
|
MD5 | d76a3b54f0f729792207b44960d08ec2 |
|
BLAKE2b-256 | 87f16d0d573de74291a3175d470f3f55341ecc736e806d1abe7aac2915060d59 |
Hashes for sherpa_onnx-1.10.30-cp39-cp39-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0592989d404ced7a6ac9d87fabdf39ee4021fbd1a3f81ea408b9297d192b385f |
|
MD5 | 1be64fb02be271bd098f1bf6d619585c |
|
BLAKE2b-256 | c89cdd44f62881c9fd313579571122cea77d86b17eb37e7326035f40f18f716d |
Hashes for sherpa_onnx-1.10.30-cp39-cp39-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1b5f2fb16265fbdafa513633a08f1b31254047667dc081a9426bc4b29b8a91c3 |
|
MD5 | c61181cd38c688d3fc36a232555d1f22 |
|
BLAKE2b-256 | fbda8d245cd0884293275899f307fb90b0075054680ac5afd9772bd1aeb1b232 |
Hashes for sherpa_onnx-1.10.30-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 901fd919945d804187709af625dd3300a3e1c14c08bb46ab872f3ac682c137eb |
|
MD5 | f112d063feae8ed61a31d5fa4f863b3e |
|
BLAKE2b-256 | 00f0f0d0d4b44dd25d5e9365d87c42a7435366480657bbb46f0180fdfd405562 |
Hashes for sherpa_onnx-1.10.30-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 41f3e9bfa03cfebfe33bfecc87f2c4f9645742ab36083bd01d8017fa52b95cda |
|
MD5 | 6218e75ce59f92aa74f6cf0d8ab30c92 |
|
BLAKE2b-256 | 394cc1f7db4319ca70d826089f0b68d331ef7274d31a9409eb779065382b28dc |
Hashes for sherpa_onnx-1.10.30-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ffd6928c3604da26d3ab9c4c2095b3e67ba3ff73793451efc6f5244ead58b06c |
|
MD5 | c21783280455396a7253c661eefe7f9e |
|
BLAKE2b-256 | 0e67b79ed4d356974095ee2970d3a99d8a65d31ac9ff649f0c21a1a4fc38ba6c |
Hashes for sherpa_onnx-1.10.30-cp39-cp39-macosx_11_0_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b2f0b3cc67dc7f1c5cd8e92f63b6c1126225229cfe375b3ce8ee8e7e3b1fc019 |
|
MD5 | 21d88a35cf2c9f864bdb308f78f03239 |
|
BLAKE2b-256 | 9d66292d62f28f6d31cd722a28d8b1936a8865cb2c82079a99256094f715f398 |
Hashes for sherpa_onnx-1.10.30-cp39-cp39-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0bab73f43d00246addc9cf2ddbb614b656b69d2c74ce9673017b19858dea44bc |
|
MD5 | 4762f9e9cdfa79ceb728a13f6df3105c |
|
BLAKE2b-256 | d0dfd9ba9afc8519e5747c93f2e86e5808d3339420660b8230c4dceb2b793317 |
Hashes for sherpa_onnx-1.10.30-cp39-cp39-linux_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97ea59685b56263221745e39bbaccbd71a60f62fa71f9c2b6db54f65227e7508 |
|
MD5 | cb689918590c1cce4da7e002d1eac574 |
|
BLAKE2b-256 | e61a7302c729db62cc4f6b07dda2d3ae01ab86f6ddb6ff2b9bb04169ed7f9c12 |
Hashes for sherpa_onnx-1.10.30-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e82a6f7dc386e61327419df5772d5e73806a63350e69cb058629ee844ed8ca15 |
|
MD5 | 6adb4cde167ac926316028b96b64d47e |
|
BLAKE2b-256 | fc61277a4d06e46c99a5f9583d2b67ca926423829b7ab85cd70d7165085dedd4 |
Hashes for sherpa_onnx-1.10.30-cp38-cp38-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a27c90b16f7645cc85f5f0b4d04e5e077fc927edcbfae8620fc30e42f178f6a |
|
MD5 | daec199dd25a6cc25c15451baaa671c3 |
|
BLAKE2b-256 | 6dd4f5eca863b1690723fc7ae75c1a5c5d50df3cff300deffdcfeca084d1a70c |
Hashes for sherpa_onnx-1.10.30-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dd1f63c47935114b3ec6b24fafaadd667c7059b394b910e452520a199971f7c1 |
|
MD5 | 8d9f684ea328d2e3b04e7655848d6f3e |
|
BLAKE2b-256 | ad35c66246dc52d93b718b3528578716cd3841d136e152dcc00923cc5823698d |
Hashes for sherpa_onnx-1.10.30-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7769a368c2a4e9cdf8e58561c1a13b8ed011b8bae15d2130461451603d37ca98 |
|
MD5 | ec6c2adbe29e5ddb0be175a316fe8104 |
|
BLAKE2b-256 | 7ebdb52c9ff34fb0c942dd2719e163922992901ff9c25380ea5c0eb4f2605d82 |
Hashes for sherpa_onnx-1.10.30-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b2e3e93f6cba072c2e6ed9ea6ede136b46e1ea0da5ff8a6fe6a41820a4e5f3e8 |
|
MD5 | 2136c5a77ab62bb57015e9b87fb174a6 |
|
BLAKE2b-256 | ec9c4f43ba40aadf06539f337d1618e61cb44e2fbe654f13da50ae2af2435c84 |
Hashes for sherpa_onnx-1.10.30-cp38-cp38-macosx_11_0_universal2.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 587b996e8e9bcb8124978b3a79c38a8c5ffcc9ae775d2d4d8c9cd8595918f551 |
|
MD5 | 0a8fbd14deb346fe58b742d5ca06dabb |
|
BLAKE2b-256 | b1511f89373638bcd57597e9f552dba6dfccfcb20de5fa098c7299ff9e85ef7d |
Hashes for sherpa_onnx-1.10.30-cp38-cp38-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 711583e39cff0309dc66c3eaf78a8adb595644da987953ae714770be9d31d59c |
|
MD5 | 696cd6460b50e2faaa9cefc1b208a794 |
|
BLAKE2b-256 | 985d1e9b619b1690db7167cb90e7041867955429cfad52a12bbf671268dd1a09 |
Hashes for sherpa_onnx-1.10.30-cp38-cp38-linux_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2b9cba3ac55604590303134bb58bc3875aedb26f35ffd4cd33d656313a76ce24 |
|
MD5 | 9c53caff2cc657297bae1e039fa972cb |
|
BLAKE2b-256 | bf774353d0b13bca79f103e5f3f317fd76eea748e14b3fcb32b7e577138dd959 |
Hashes for sherpa_onnx-1.10.30-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 491ca706dbb76503e9c246de1c82982f416ab814cf8eb82096af9592e9ca85cd |
|
MD5 | 1144d4bd0bb757ec5e4f91167f576f38 |
|
BLAKE2b-256 | fdb018598fd3c3e0533c24c68a9fdb1af0ce232358b602b981e0be92a6534df2 |
Hashes for sherpa_onnx-1.10.30-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2ce7fe666cb913ba9c0dacd9553c5b901324df944354363f79dcc10a8869f098 |
|
MD5 | 335828f1bbce691f202a7d28e79728f9 |
|
BLAKE2b-256 | a4949017cd3c9bb76a77aca5cfd23f87e67e3b2969c089763192de3b71ebefe7 |
Hashes for sherpa_onnx-1.10.30-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 964d911efb06c368d671f57d058fa292cfd2185983a0f4abe301cea535810278 |
|
MD5 | 237e5dc69abd102e39c1e8e75675b43e |
|
BLAKE2b-256 | 4615768f4cff0dd6bbc05df9a7a989a346319bc3ed469268edec7d3d3676894b |
Hashes for sherpa_onnx-1.10.30-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 80d59eb2df8260a32a7c79fc01cfcb272e32f0a59eb9595700c94df510e8455e |
|
MD5 | 74985652d1eaeae2e27926744483951d |
|
BLAKE2b-256 | c956113a6ae1d1bd610d69845edd5747766f92c17650dfe2bb2ee39674559677 |
Hashes for sherpa_onnx-1.10.30-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2bd0b8023f6ce73ef0e3868695053071ea07a777808abc11dfa8c2bada3ab45c |
|
MD5 | 537713610699792403d9de978592f89f |
|
BLAKE2b-256 | 6d9feb53ac2d6eb8fc740984a37f15508c3886cf5c775f9416fdaab726cebc86 |
Hashes for sherpa_onnx-1.10.30-cp37-cp37m-linux_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f939b9e3146f2e87fab10669b584280917cdf08991649a2e20a35d13038b19ab |
|
MD5 | 71442fe4f697dec691c7ad67b8d90240 |
|
BLAKE2b-256 | a36eeedcf267cd64e678c1fddb6dc2d2c311e0b564b03572c07421a91b4dfce8 |