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Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

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Allows creating the `ModelDirectory` local directory from the direct output of the transformers training procedure. To test: 1. You need to install locally the sparsezoo's `feature/ci-cd-refactor/validations` branch 2. Then run:...

Allows creating the `ModelDirectory` local directory from the direct output of the yolo training procedure. To test: 1. You need to install locally the sparsezoo's `feature/ci-cd-refactor/validations` branch 2. Then run:...

Bumps [mistune](https://github.com/lepture/mistune) from 0.8.4 to 2.0.3. Release notes Sourced from mistune's releases. Version 2.0.2 Fix escape_url via lepture/mistune#295 Version 2.0.1 Fix XSS for image link syntax. Version 2.0.0 First release...

dependencies

CrossEntropy losses (Categorical) now can take label smoothing are as parameter. In theory, ready to be reviewed, but for clarity, I will open this PR once the PyTorch 1.10.2 upgrade...

enhancement

PR for refreshing content on root readme. Citations have been updated, when we have a fix for the custom dataset fine-tuning will adjust the example python.

Hello, I was doing transfer learning on yolov5l pruned+quant model using ddp multi gpu setup. It almost completed 49/51 epochs and stopped with the following error. I was using weights...

Following commands were tested, meaning all commands in README are tested: - `docker build --build-arg CUDA_VERSION=11.1 -t sparseml_docker .` - `docker build --build-arg CUDA_VERSION=11.1 --build-arg GIT_CHECKOUT=main -t sparseml_docker .` -...

From community slack https://discuss-neuralmagic.slack.com/team/U03P31PUJGM: [Trunov Pavel](https://app.slack.com/team/U03P31PUJGM) [11:05 AM](https://discuss-neuralmagic.slack.com/archives/C020FPF3MQX/p1657728332430099) Hello! I'm trying to prune yolov3-tiny using sparseml. There is no recipe for tiny but I've figured out that it's possible to...

bug

I have been using sparseml for pruning YOLOv5 recently and I can see big improvement in inference time, however, the model size stays the same. I have realised that it...

enhancement