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Compression methods for POS Tagger models and embeddings

Data: wtorek 12.01.2021, godz. 11:00-12:00

Prelegent: Maxime Méloux (Samsung/UAM)

Abstrakt: I will present various methods of compression for part-of-speech tagger models, which allow to reduce on-disk model size and increase inference speed while preserving model performance as best as possible. I will particularly focus on compression methods for static and dynamic embeddings, such as Flair embeddings (

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