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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

BERT - Training from Scratch

By: deepset Latest Version: 0.1

Product Overview

Train a BERT model from scratch on your own text corpus using the open-source FARM framework. This is helpful if you are working with another language or in a particular domain that uses a specific jargon, e.g. law, finance, biomed or engineering. Your input: A training corpus in a txt file and a vocabulary in a txt file (see details below). The algorithm is currently in beta. It's free, open-source and comes with no warranty. There's no inference mode implemented, as for most use cases you will fine-tune the model on a down-stream task before using it for inference (e.g. Question Answering).

Key Data

By deepset
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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BERT - Training from Scratch

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