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For early adopters, Horace and his PyTorch team released some early in 🤗Transformers benchmarks using Torchdynamo + AOTAutograd There is an example of usage in the benchmark code in github.com/huggingface/tr… e.g. getting 35% speed up and 45% memory improvement on Albert
I really enjoyed attending and speaking at @MLPrague, kudos to the team for organising such a great event. Looking forward to next year :)
B1T is fantastic. Just needs to work on game sense, communication, aim, map awareness ...
🎉 Our paper on SoTA unsupervised contrastive sentence embedding was accepted as a long paper by NAACL 2022! Thanks to my co-authors from @MIT_CSAIL @MetaAI @MITIBMLab! arXiv: arxiv.org/abs/2204.10298 code: github.com/voidism/DiffCSE Pretrained models are available on @huggingface
In this #TMLS2021 talk, @Piet_El CTO @_PrivateAI will go over the challenges they faced and how they managed to improve the latency and throughput of their Transformer networks, allowing their system to process Terabytes of data easily and cost-effectively bit.ly/TMLS2021
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