Philipp Schmid
BuilderBerlin
@philschmid
Technical Lead at Hugging Face. Building deployment solutions and optimizing transformer inference for production at scale.
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Research Foundations (2)
Projects (1)
Hugging Face Inference Endpoints
Production deployment platform for transformer models. One-click deployment of any Hugging Face model with auto-scaling and optimized inference.
Built on research:
AI Suggested Researchers
Researchers whose work may be relevant to your projects (auto-detected)
Hannaneh Hajishirzi
University of Washington / Allen AI
Kyunghyun Cho
New York University / Genentech
Aaron Courville
Mila / Université de Montréal
Luke Zettlemoyer
University of Washington / Meta AI
AI Suggested Papers
Papers that may have inspired your projects (auto-detected by domain & keyword analysis)
For Hugging Face Inference Endpoints:
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
NAACL 2019 · 2019 · 108,124 citations
OLMo: Accelerating the Science of Language Models
ACL 2024 · 2024 · 800 citations
Llama 2: Open Foundation and Fine-Tuned Chat Models
arXiv preprint · 2023 · 7,200 citations