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#ipu

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3 items

modelsMay 26

Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers

Graphcore and Hugging Face have collaborated to launch a new lineup of IPU-ready transformers, optimized for Graphcore's Intelligence Processing Units (IPUs). This partnership aims to make it easier for developers to deploy transformer models on Graphcore's hardware. The optimized models are available on Hugging Face's model hub. You can now access and deploy these models for various AI applications.

Key takeaways
  • Graphcore and Hugging Face partnered on IPU-optimized transformers.
  • The optimized models are available on Hugging Face's model hub.
  • Developers can deploy these models on Graphcore's IPUs for AI applications.
toolsNov 30

Getting Started with Hugging Face Transformers for IPUs with Optimum

The Hugging Face Optimum library now supports Graphcore's IPUs for transformer inference. This integration enables developers to deploy and optimize transformer models on Graphcore hardware. You can get started with example code and tutorials. The collaboration aims to make transformer deployment more accessible.

Key takeaways
  • Hugging Face Optimum supports Graphcore IPUs for transformer inference.
  • Developers can deploy and optimize models on Graphcore hardware.
  • Example code and tutorials are available.
modelsSep 14

Hugging Face and Graphcore partner for IPU-optimized Transformers

Hugging Face and Graphcore have partnered to optimize Transformers for Graphcore's IPU hardware. This collaboration aims to improve performance and efficiency of Transformer models on IPUs. You can now deploy optimized models on Graphcore's hardware. The partnership targets builders who want to run large models efficiently on specialized hardware.

Key takeaways
  • Partnership optimizes Transformers for Graphcore's IPU hardware.
  • Aims to improve performance and efficiency of Transformer models.
  • Targets builders deploying large models on specialized hardware.