Title:
Hugging Face: Building the "GitHub of Machine learning", with Typescript
Content (Briefly describe the content of the presentation):
Hugging Face has built some of the most popular open source libraries for Machine learning (ML) and natural language processing (NLP), like the transformers repo (50k stars on GitHub).
We raised $60M and we are a team of 100, in Paris, NYC, and all over the globe.
On top of our open source, we are building huggingface.co, a hosted platform for the community to share their ML models and datasets, and collaborate on the Future of AI 🔥
The platform is built in Typescript and implements git hosting, browsing, ML model deployment, as well as a ton of other capabilities, at scale, all in Typescript.
In this short talk I'll present the challenges and the lessons we learnt in the past few years.
Talk proposal - Paris TypeScript
Talk description
Hugging Face has built some of the most popular open source libraries for Machine learning (ML) and natural language processing (NLP), like the
transformers
repo (50k stars on GitHub).We raised $60M and we are a team of 100, in Paris, NYC, and all over the globe.
On top of our open source, we are building huggingface.co, a hosted platform for the community to share their ML models and datasets, and collaborate on the Future of AI 🔥
The platform is built in Typescript and implements git hosting, browsing, ML model deployment, as well as a ton of other capabilities, at scale, all in Typescript.
In this short talk I'll present the challenges and the lessons we learnt in the past few years.
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