I

Intermediate

Developed by funnel-transformer
Transformer model pre-trained on English corpus using ELECTRA-like objectives, acquiring text representations through self-supervised learning
Downloads 24
Release Time : 3/2/2022

Model Overview

This model is pre-trained on massive English texts via self-supervision, primarily for text feature extraction or downstream task fine-tuning. It employs GAN-like training by predicting original/replaced tokens to learn language representations.

Model Features

Efficient sequence processing
Achieves efficient language processing by filtering sequence redundancy, reducing computational resource consumption
ELECTRA-style pretraining
Adopts GAN-like training method similar to ELECTRA, learning by distinguishing original/replaced tokens
Case-insensitive
Uniformly processes uppercase/lowercase forms, treating 'english' and 'English' as identical

Model Capabilities

Text feature extraction
Sequence classification
Token classification
Question answering

Use Cases

Natural Language Processing
Text classification
Performs classification tasks on full sentences
Named entity recognition
Identifies specific entity categories in text
Question answering
Reading comprehension
Answers relevant questions based on given text
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