📖 Installation and usage. For more details on how to use models with spaCy, see the usage guide on models. Model architecture. spaCy v2.0 features new neural models for tagging, parsing and entity recognition.
Anthony Lapsley vs. Albert Tumenov.
Figure 1: TPU vs. VVMA. Top: to multiply a vector by a matrix, the hardware tiles up the matrix. Bottom left: the TPU loads each piece. Bottom right: the VVMA loads a single piece (for broadcasting) and adds diagonals for element-wise multiplication, which is faster. - "Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications"