Train a NER Transformer Model with Just a Few Lines of Code via spaCy 3 by@ubiai
3,224 reads

Train a NER Transformer Model with Just a Few Lines of Code via spaCy 3

March 12th 2021
5 min
by @ubiai 3,224 reads
tldt arrow
Read on Terminal Reader🖨️

Too Long; Didn't Read

BERT — which stands for Bidirectional Encoder Representations from Transformers— leverages the transformer architecture in a novel way. BERT analyses both sides of the sentence with a randomly masked word to make a prediction. Fine-tuning transformers requires a powerful GPU with parallel processing. In this tutorial, we will use the newly released spaCy 3 library to fine tune our transformer. We will provide the data in IOB format contained in a TSV file then convert to spaCy.

Companies Mentioned

Mention Thumbnail
Mention Thumbnail
featured image - Train a NER Transformer Model with Just a Few Lines of Code via spaCy 3
Walid HackerNoon profile picture

@ubiai

Walid
react to story with heart

RELATED STORIES

L O A D I N G
. . . comments & more!
Hackernoon hq - po box 2206, edwards, colorado 81632, usa