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Sonia Model

Developed by soniakris
Pre-trained language model based on Transformer architecture, using MASK tokens for self-supervised learning
Downloads 18
Release Time : 3/2/2022

Model Overview

This model learns contextual representations by predicting masked tokens, suitable for various natural language processing tasks

Model Features

Bidirectional context understanding
Captures bidirectional contextual information through Transformer architecture
Transfer learning friendly
Pre-trained model can be fine-tuned for downstream NLP tasks
Dynamic masking strategy
Dynamically generates mask positions during training to enhance model robustness

Model Capabilities

Text embedding generation
Word prediction
Semantic similarity calculation
Text classification
Named entity recognition

Use Cases

Text understanding
Intelligent cloze test
Predict missing words in text
Achieves human-level cloze accuracy
Information extraction
Document keyword extraction
Identify key entities and concepts in documents
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