#SparseML - Twitter Hashtag

about 3 years ago

Ready to optimize your models with compound sparsification? Use SparseML, a powerful library that incorporates these and other techniques to help you achieve better inference results. https://t.co/BkVOs60VyK #CompoundSparsification #SparseML #MachineLearning #DataScience

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Red Hat AI

@RedHat_AI

about 3 years ago

Our research team collaborates with @ISTAustria to create these cutting-edge model optimization techniques for everyone to use. 🙏 Start with #SparseML to apply these and other methods to your models to enable faster and more efficient AI use cases: https://t.co/BkVOs60VyK

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Data Science Dojo

@DataScienceDojo

about 3 years ago

💥 An overview to sparsifying image with SparseML! #SparseML #DataScience #Overview

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Red Hat AI

@RedHat_AI

about 3 years ago

Did you lose an hour of sleep due to #DaylightSavingTime? Don’t worry, you can get it back using Neural Magic 😃 1/ #SparseZoo - prototype from already-optimized ML models 2/ #SparseML - apply your data with a few lines of code 3/ #DeepSparse - run ML in deployment super fast

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Jason Hogrefe @MacAppware

almost 4 years ago

@PyTorchLightnin Transformers 0.2 just released with some nice new features! #AI #MachineLearning #ML #NLP #transformers #HuggingFace #SparseML #DeepLearning

Lightning AI ⚡️

@LightningAI

almost 4 years ago

We’re stoked to announce Lightning Transformers 0.2 packed with new features including: ✅New ViT Image Classification Task 🔍SparseML Support 🤗@HuggingFace Hub Compatible Checkpoints 🤖Big Transformers Inference and more! Check it out now👉 https://t.co/FHIm6KchWD #AI #ML

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Lightning AI ⚡️

@LightningAI

over 4 years ago

⚡️ With Flash, all it takes is a single line of code to enable #SparseML training while using Lightning features(Callbacks, Logging, Mixed Precision, and Distributed Training w/ support for Advanced Distributed Plugins) 🤓 Check out @taz838's latest post! https://t.co/W1hJyYY2Bg

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RDB

@Rajath_DB

almost 5 years ago

Ever wondered how to optimize your neutral nets apart from tuning your hyper-parameters or manipulating your dataset? @neuralmagic has made inferencing faster by using different sparsification techniques. #DeepLearning #sparseml #NeuralNetworks

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