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Releases: MODCT/CeleryMath

CeleryMath v0.3.0

02 Oct 08:27
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What's Changed

  • New model with better performance! 🎉
  • Support dark background and white text!

Usage

  • Download CeleryMath-v0.3.0-Windows_x64.7z and extract
  • Download tokenizer.json, CeleryMathEncoder.onnx, CeleryMathDecoder.onnx and move to conf dirctory
  • Open CeleryMathGui.exe and set path in settings
  • Have fun!

CeleryMath v0.2.0

15 Aug 08:56
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What's changed

  • Reduce package size, < 40Mb now after compressing.
  • Replace QWebengine with QSvgWidget, drop embeded web kernel
  • Refactor project structure, remove api, cmd, etc., pure GUI now.
  • Update Python version to 3.10
  • Better type annoations

Note

If you have a NVIDIA GPU and want to inference using GPU, you can download onnxruntime-gpu library from https://github.com/microsoft/onnxruntime/releases/tag/v1.15.1 and copy lib/onnxruntime_providers_cuda.dll to onnxruntime/capi/ , then select cuda in settings.

CeleryMath v0.1.4

23 Aug 13:20
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  • Improve Beam Search, also experimental
  • Add GPU support. (CUDA only)
    To use gpu, you need to download onnxruntime gpu library from onnxruntime, and put
    lib/onnxruntime_providers_cuda.dll to onnxruntime/capi/

CeleryMath v0.1.3

18 Aug 10:24
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  • add beam search
    (experimental, for now, consider the greedy search first, the implementation is time consuming now, to be improved)

  • add random sampling

  • add nucleus sampling

  • small update on UI

  • no change on models and tokenizers

CeleryMath v0.1.2

14 Aug 12:23
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  • Fix screenshot on multi-monitor
  • No change on Model and Tokenizer, download from here
  • Original image is more clear now

CeleryMath v0.1.1: Fix screenshot on multi-monitor

18 Jun 12:35
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修复多显示器的截图问题

Fix screenshot on multi-monitor

其它文件不变

CeleryMath v0.1.0

15 Jun 15:40
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🎉 First Release

说明

  • 提供预编译的可执行程序,目前只支持Windows X64 (主要是目前没有Linux的需求,理论上是跨平台的)
  • 提供预训练的模型文件,已转化为ONNX格式

Introduction

  • Release GUI pre-compiled binary program, Windows only for now
  • Release pre-trained Model, transformed to .ONNX format