Binary executables for sherpa-onnx
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File details
Details for the file sherpa_onnx_bin-1.12.20-py3-none-win_amd64.whl.
File metadata
- Download URL: sherpa_onnx_bin-1.12.20-py3-none-win_amd64.whl
- Upload date:
- Size: 17.5 MB
- Tags: Python 3, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
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File details
Details for the file sherpa_onnx_bin-1.12.20-py3-none-win32.whl.
File metadata
- Download URL: sherpa_onnx_bin-1.12.20-py3-none-win32.whl
- Upload date:
- Size: 15.0 MB
- Tags: Python 3, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
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File details
Details for the file sherpa_onnx_bin-1.12.20-py3-none-manylinux2014_x86_64.whl.
File metadata
- Download URL: sherpa_onnx_bin-1.12.20-py3-none-manylinux2014_x86_64.whl
- Upload date:
- Size: 20.9 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.19
File hashes
| Algorithm | Hash digest | |
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| SHA256 |
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File details
Details for the file sherpa_onnx_bin-1.12.20-py3-none-manylinux2014_aarch64.whl.
File metadata
- Download URL: sherpa_onnx_bin-1.12.20-py3-none-manylinux2014_aarch64.whl
- Upload date:
- Size: 19.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.19
File hashes
| Algorithm | Hash digest | |
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File details
Details for the file sherpa_onnx_bin-1.12.20-py3-none-macosx_11_0_arm64.whl.
File metadata
- Download URL: sherpa_onnx_bin-1.12.20-py3-none-macosx_11_0_arm64.whl
- Upload date:
- Size: 12.8 MB
- Tags: Python 3, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
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File details
Details for the file sherpa_onnx_bin-1.12.20-py3-none-macosx_10_15_universal2.whl.
File metadata
- Download URL: sherpa_onnx_bin-1.12.20-py3-none-macosx_10_15_universal2.whl
- Upload date:
- Size: 26.9 MB
- Tags: Python 3, macOS 10.15+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
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| SHA256 |
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