Machine Learning 2.0 with Hugging Face
summary
Hugging Face claims practical transfer learning: a hub with about 2,900 datasets and over 29,000 pre‑trained models in 160+ languages that sees roughly 1 million downloads per month. Demos run in seconds — a 100‑line Spaces app chains speech‑to‑text with translation and semantic search over SEC filings, and a DistilBERT fine‑tune on product reviews runs on SageMaker then deploys as an endpoint with a single API call, showing real deployment paths and concrete latency and data‑size tradeoffs.
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chapters (9)
- 0:00ML 2.0 introduction
- 4:19Four aligned planets of ML 2.0
- 6:26Transformers as new standard
- 8:31Transfer learning with pre-trained models
- 12:27Voice queries demo
- 15:34ML hardware acceleration
- 18:03Developer tools for ML 2.0
- 21:31Fine-tuning on AWS SageMaker
- 27:10Key takeaways
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