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pypi.org : optimum-deepsparse
Optimum DeepSparse is an extension of the Hugging Face Transformers library that integrates the DeepSparse inference runtime. DeepSparse offers GPU-class performance on CPUs, making it possible to run Transformers and other deep learning models on commodity hardware with sparsity. Optimum DeepSparse provides a framework for developers to easily integrate DeepSparse into their applications, regardless of the hardware platform.
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purl: pkg:pypi/optimum-deepsparse
Keywords: inference, cpu, x86, arm, transformers, quantization, pruning, sparsity, computer-vision, cpus, deepsparse, llm-inference, machinelearning, nlp, object-detection, onnx, performance, pretrained-models, sparsification
License: CDLA-Sharing-1.0,Apache-2.0
Latest release: 7 months ago
First release: 7 months ago
Dependent packages: 3
Downloads: 53 last month
Stars: 2,664 on GitHub
Forks: 155 on GitHub
Total Commits: 954
Committers: 49
Average commits per author: 19.469
Development Distribution Score (DDS): 0.823
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Last synced: 6 days ago