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google-research/electraArchived

0
View on GitHub↗
2,368 stars·349 forks·Python·Apache-2.0·9 views

Electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Features

  • Language Modeling - Discriminator-based pre-training for text encoders.

Star history

Star history chart for google-research/electraStar history chart for google-research/electra

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Electra

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Frequently asked questions

What does google-research/electra do?

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

What are the main features of google-research/electra?

The main features of google-research/electra are: Language Modeling.

What are some open-source alternatives to google-research/electra?

Open-source alternatives to google-research/electra include: allenai/longformer — Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents. ari-holtzman/degen. facebookresearch/spanbert — This repository contains code and models for the paper: SpanBERT: Improving Pre-training by Representing and… facebookresearch/xlm — PyTorch original implementation of Cross-lingual Language Model Pretraining. google-research/albert — ALBERT. allenai/dont-stop-pretraining.